Главная
Study mode:
on
You
History
Saved
In progress 0 courses
compleat 0 courses
#Art & Design #Adobe #ChatGPT #GitHub

#Markov Decision Processes

Showing: 70 courses

Reinforcement Learning Course

0 rewiews
Comprehensive exploration of reinforcement learning concepts, from basics to advanced topics, including deep RL, policy gradients, and practical applications in classic games.
Add to list
10 Lesons
17 hours
On-Demand
Free-Video
Santa Fe Institute

Evolutionary Conundrums - Cooperation and Traversing Fitness Landscapes

0 rewiews
Explore evolutionary biology: cooperation via social norms, fitness landscapes in rapidly evolving populations, and optimal antibiotic use against pathogens using Markov Decision Processes.
Add to list
1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Steve Brunton

Reinforcement Learning - Machine Learning Meets Control Theory

0 rewiews
Explore reinforcement learning's intersection with control theory, covering key concepts, algorithms, and applications in this comprehensive overview of machine learning's powerful technique.
Add to list
9 Lesons
26 minutes
On-Demand
Free-Video
The Julia Programming Language

MDPs - Markov Decision Processes - Decision Making Under Uncertainty Using POMDPs.jl

0 rewiews
Explore Markov Decision Processes and decision-making under uncertainty using POMDPs.jl. Learn about MDPs, Grid World, solvers, reinforcement learning, and visualization techniques in Julia.
Add to list
34 Lesons
49 minutes
On-Demand
Free-Video
Institute for Advanced Study

The Challenges of Model-Based Reinforcement Learning and How to Overcome Them - Csaba Szepesvári

0 rewiews
Explore challenges in model-based reinforcement learning, including modeling errors and efficient planning, and discover strategies to overcome them in complex environments.
Add to list
24 Lesons
1 hour 39 minutes
On-Demand
Free-Video
Institute for Advanced Study

Towards Structural Risk Minimization for RL - Emma Brunskill

0 rewiews
Explore structural risk minimization in reinforcement learning, focusing on efficient learning of risk-sensitive policies using conditional value at risk and optimistic exploration techniques.
Add to list
33 Lesons
45 minutes
On-Demand
Free-Video
GERAD Research Center

Planning and Learning in Risk-Aware Restless Multi-Arm Bandit

0 rewiews
Explore risk-aware restless multi-arm bandits, indexability conditions, and Thompson sampling for bounded regret in resource distribution across Markov decision processes.
Add to list
1 Lesons
48 minutes
On-Demand
Free-Video
Institut des Hautes Etudes Scientifiques (IHES)

Reinforcement Learning: An Introduction and Key Results

0 rewiews
Découvrez les principes et applications du Reinforcement Learning, de la détection d'anomalies médicales à l'optimisation des processus décisionnels de Markov. Explorez les défis et solutions de cette approche d'apprentissage par interaction.
Add to list
8 Lesons
51 minutes
On-Demand
Free-Video
GERAD Research Center

Regularization and Robustness in Reinforcement Learning

0 rewiews
Explore robust Markov decision processes and learn how regularization can simplify planning and learning in uncertain environments while maintaining stability and scalability.
Add to list
1 Lesons
37 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Stochastic Control for Medical Treatment Optimization

0 rewiews
Explorez le contrôle stochastique pour optimiser les traitements médicaux. Découvrez les applications mathématiques avancées dans la prise de décision clinique.
Add to list
1 Lesons
53 minutes
On-Demand
Free-Video
GERAD Research Center

Connections between POMDPs and Partially Observed N-Player Mean-Field Games

0 rewiews
Explore connections between POMDPs and partially observed n-player mean-field games. Gain insights into discrete-time models, mean-field observability, and equilibrium existence in symmetric settings.
Add to list
1 Lesons
58 minutes
On-Demand
Free-Video
Montreal Robotics

Developing Robots that Autonomously Learn and Plan in the Real World

0 rewiews
Explore autonomous robot learning and planning, covering challenges, techniques, and future directions in creating versatile AI agents capable of solving complex real-world tasks.
Add to list
22 Lesons
46 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Decision Making and Learning in the Life Sciences - Lecture 2

0 rewiews
Explore decision-making and learning in life sciences, focusing on advanced concepts and their applications in biological systems and research.
Add to list
1 Lesons
1 hour 31 minutes
On-Demand
Free-Video
Inside Livermore Lab

Fokker-Planck-Inverse Reinforcement Learning

0 rewiews
Explore Fokker-Planck-Inverse Reinforcement Learning for revealing agent behavior rationale. Learn about a novel physics-aware algorithm inferring transition and reward functions from observed trajectories.
Add to list
1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Discover AI

Reinforcement Learning: From Policy Optimization to Multi-Agent Systems

0 rewiews
Explore reinforcement learning fundamentals, from reward systems and policy optimization to transformer architectures in robotics and multi-agent systems, with practical implementation insights.
Add to list
15 Lesons
34 minutes
On-Demand
Free-Video
Discover AI

Understanding Q* (Q-star) - From Q-Learning to Maximum Entropy Reinforcement Learning

0 rewiews
Delve into the technical foundations of Q* (Q-star), exploring its roots in physics entropy, reinforcement learning principles, and practical applications in machine learning systems.
Add to list
13 Lesons
20 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

Average Reward Markov Decision Process - Policy Gradient Algorithms and Regret Analysis

0 rewiews
Delve into infinite horizon average reward Markov Decision Process (MDP), exploring policy gradient algorithms, gradient estimation techniques, and innovative approaches to reduce mixing time dependencies.
Add to list
1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

Almost-Optimal Best Restless Markov Arm Identification with Fixed Confidence

0 rewiews
Delve into advanced multi-armed bandit theory, focusing on identifying optimal arms in restless Markov chains through asymptotic analysis and policy optimization for distributed learning systems.
Add to list
1 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

Mean-Field Control for Restless Bandits and Weakly Coupled MDPs

0 rewiews
Explore optimization methods and stochastic models for large-scale system control, focusing on mean-field approaches to overcome dimensionality challenges in reinforcement learning and resource allocation.
Add to list
1 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Data Science Courses

Deep Learning: Introduction to Reinforcement Learning and Policy Iteration - Lecture 12

0 rewiews
Dive into reinforcement learning fundamentals, exploring policy iteration, value iteration, Markov decision processes, and Monte Carlo estimation techniques for advanced AI applications.
Add to list
1 Lesons
1 hour 40 minutes
On-Demand
Free-Video
Simons Institute

Learning Decentralized Policies in Multiagent Systems - How to Learn Efficiently

0 rewiews
Explore decentralized policy learning in multiagent systems, focusing on scalable actor-critic methods, network structures, and performance characterization using stochastic game frameworks.
Add to list
18 Lesons
51 minutes
On-Demand
Free-Video
Digi-Key

Introduction to Reinforcement Learning

0 rewiews
Learn reinforcement learning fundamentals and apply them to solve control problems using Python libraries. Hands-on training with cartpole example and challenge to tackle inverted pendulum problem.
Add to list
22 Lesons
1 hour 15 minutes
On-Demand
Free-Video
Alan Turing Institute

Formal Verification and Learning of Complex Systems - Professor Alessandro Abate

0 rewiews
Exploring formal verification techniques for complex systems, combining model-based and data-driven methods to address scalability issues and provide system-level assertions in Cyber-Physical Systems.
Add to list
18 Lesons
43 minutes
On-Demand
Free-Video
Pascal Poupart

Partially Observable RL

0 rewiews
Explore partially observable reinforcement learning, covering Markov decision processes, hidden Markov models, and belief monitoring in this comprehensive lecture.
Add to list
10 Lesons
44 minutes
On-Demand
Free-Video
Pascal Poupart

Markov Decision Processes

0 rewiews
Explore Markov Decision Processes, their components, and applications in inventory management. Learn about rewards, discounting, and Bellman's equation for optimal decision-making.
Add to list
11 Lesons
59 minutes
On-Demand
Free-Video
Pascal Poupart

Partially Observable Reinforcement Learning

0 rewiews
Explore partially observable reinforcement learning, covering Markov processes, hidden models, and recurrent neural networks for decision-making in uncertain environments.
Add to list
11 Lesons
29 minutes
On-Demand
Free-Video
Pascal Poupart

Introduction to RL

0 rewiews
Learn key concepts of reinforcement learning including Markov decision processes, policy optimization, and model-free evaluation through lectures and examples like the inverted pendulum and toy maze.
Add to list
14 Lesons
1 hour 24 minutes
On-Demand
Free-Video
Simons Institute

Reinforcement Learning via an Optimization Lens

0 rewiews
Explore reinforcement learning through an optimization lens, covering MDPs, Bellman equations, and novel approaches to solving RL problems using linear programming and primal-dual formulations.
Add to list
21 Lesons
47 minutes
On-Demand
Free-Video
Simons Institute

Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes

0 rewiews
Explore policy gradient methods in Markov Decision Processes, covering optimality, approximation, and key concepts like entropy regularization and natural policy gradient.
Add to list
16 Lesons
55 minutes
On-Demand
Free-Video
Simons Institute

On the Hardness of Reinforcement Learning With Value-Function Approximation

0 rewiews
Explore challenges in reinforcement learning with value-function approximation, focusing on batch learning in large MDPs and the limitations of realizability assumptions.
Add to list
18 Lesons
54 minutes
On-Demand
Free-Video
Simons Institute

Reinforcement Learning in Feature Space: Complexity and Regret

0 rewiews
Explore reinforcement learning in feature space, focusing on complexity, regret analysis, and innovative approaches like MatrixRL. Learn about state feature mapping and its applications in real-world scenarios.
Add to list
23 Lesons
45 minutes
On-Demand
Free-Video
Simons Institute

Online Learning in Markov Decision Processes - Part 2

0 rewiews
Explore advanced concepts in Markov Decision Processes, including adversarial scenarios, regret analysis, and algorithms for online learning in dynamic environments.
Add to list
27 Lesons
1 hour 13 minutes
On-Demand
Free-Video
Simons Institute

Online Learning in Markov Decision Processes - Part 1

0 rewiews
Explore online learning in Markov Decision Processes, covering theory, algorithms, and optimal strategies for reinforcement learning in dynamic environments.
Add to list
15 Lesons
1 hour 26 minutes
On-Demand
Free-Video
Simons Institute

Planning and Markov Decision Processes - Part 1

0 rewiews
Explore fundamental concepts of planning and Markov Decision Processes, including control objectives, randomizing policies, and basic methods for reinforcement learning theory.
Add to list
11 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

On the Statistical Complexity of Reinforcement Learning

0 rewiews
Explores statistical complexities in reinforcement learning, covering sample complexity, regret analysis, and off-policy evaluation. Discusses minimax-optimal approaches and function approximation in MDPs.
Add to list
18 Lesons
47 minutes
On-Demand
Free-Video
Simons Institute

Generalization and Robustness in Offline Reinforcement Learning

0 rewiews
Explore offline reinforcement learning for safety-critical applications, covering generalization, robustness, and imitation learning in large-scale settings with rich function approximation.
Add to list
19 Lesons
54 minutes
On-Demand
Free-Video
Paul G. Allen School

2019 ADSI Summer Workshop- Algorithmic Foundations of Learning and Control

0 rewiews
Explore uncertainty in perception for control systems, covering model-free algorithms, pixel-based control, and machine learning applications in robotics and autonomous systems.
Add to list
14 Lesons
47 minutes
On-Demand
Free-Video
Paul G. Allen School

Reinforcement Learning - Emma Brunskill - Stanford University

0 rewiews
Explore reinforcement learning fundamentals, applications, and challenges with Stanford's Emma Brunskill, covering AI planning, machine learning, and decision-making processes.
Add to list
19 Lesons
1 hour
On-Demand
Free-Video
Alan Turing Institute

Fast Learning of Small Strategies - Jan Křetínský, Technical University of Munich

0 rewiews
Discover fast learning techniques for small strategies in Markov decision processes, combining verification precision with machine learning scalability for ε-optimal strategies and concise representation.
Add to list
12 Lesons
39 minutes
On-Demand
Free-Video
IEEE

Theoretical Foundations of Reinforcement Learning

0 rewiews
Explore key concepts and mathematical principles underlying reinforcement learning algorithms, including Markov decision processes, value functions, and policy optimization techniques.
Add to list
1 Lesons
2 hours 44 minutes
On-Demand
Free-Video
Yannic Kilcher

Q-Learning: From Basics to Deep Q-Networks

0 rewiews
Explore Q-Learning fundamentals, from Markov Decision Processes to Deep Q-Networks, in this comprehensive overview of reinforcement learning concepts and applications.
Add to list
7 Lesons
46 minutes
On-Demand
Free-Video
Paul G. Allen School

Reinforcement Learning IV - Advanced Concepts and Applications

0 rewiews
Explore advanced reinforcement learning concepts with Stanford's Emma Brunskill, covering cutting-edge techniques and applications in AI decision-making.
Add to list
1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Paul G. Allen School

Reinforcement Learning III - Advanced Concepts and Applications

0 rewiews
Explore advanced reinforcement learning concepts with Stanford's Emma Brunskill, covering cutting-edge techniques and applications in AI decision-making.
Add to list
1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Reinforcement Learning in Action - Lecture 3

0 rewiews
Explore advanced reinforcement learning concepts and applications in this lecture by Massimo Vergassola, part of a comprehensive series on soft and living matter physics.
Add to list
1 Lesons
1 hour 39 minutes
On-Demand
Free-Video
ACM SIGPLAN

Programmatic Strategy Synthesis: Resolving Nondeterminism in Probabilistic Programs

0 rewiews
Explore programmatic strategy synthesis for resolving nondeterminism in probabilistic programs using deductive verification techniques and weakest precondition-style frameworks.
Add to list
1 Lesons
17 minutes
On-Demand
Free-Video
Strange Loop Conference

Training an Autonomous Pentester with Deep RL

0 rewiews
Explore deep reinforcement learning for autonomous pentesting, using Metasploit and simulated networks to train an AI agent capable of compromising real-world vulnerable systems.
Add to list
1 Lesons
35 minutes
On-Demand
Free-Video
IEEE

Lay Down the Common Metrics - Evaluating Proof of Work Consensus Protocols' Security

0 rewiews
Quantitative analysis framework for evaluating security of Proof of Work consensus protocols, revealing vulnerabilities and proposing improvements for blockchain systems.
Add to list
1 Lesons
18 minutes
On-Demand
Free-Video
GOTO Conferences

A Code-Driven Introduction to Reinforcement Learning

0 rewiews
Hands-on introduction to reinforcement learning, covering Markov decision processes and RL algorithms. Includes live coding of a GridWorld simulation and practical steps for industrial applications.
Add to list
7 Lesons
33 minutes
On-Demand
Free-Video
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Error Bounds for Mean-Payoff Markov Decision Processes

0 rewiews
Explore optimal transport techniques for error bounds in reinforcement learning, focusing on mean-payoff Markov decision processes and stochastic fixed point iterations.
Add to list
1 Lesons
29 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Provably Efficient Adversarial Imitation Learning with Unknown Transitions - Oral Session 4

0 rewiews
Explore provably efficient adversarial imitation learning with unknown transitions. Discover a framework connecting reward-free exploration and AIL, and learn about the MB-TAIL algorithm's optimal performance and generalization ability.
Add to list
1 Lesons
27 minutes
On-Demand
Free-Video
Serrano.Academy

A Friendly Introduction to Deep Reinforcement Learning, Q-Networks and Policy Gradients

0 rewiews
Friendly exploration of deep reinforcement learning concepts, including Markov decision processes, Q-networks, and policy gradients, using examples and visuals to explain complex ideas.
Add to list
12 Lesons
36 minutes
On-Demand
Free-Video
ACM SIGPLAN

Haskell for Choice-Based Learning in Machine Learning Programming

0 rewiews
Explore language design for machine learning, focusing on choice-based learning. Combine algebraic effects, handlers, and selection monad to create powerful frameworks for decision-making models and optimization techniques.
Add to list
1 Lesons
49 minutes
On-Demand
Free-Video
GERAD Research Center

Hindsight Learning for MDPs with Exogenous Inputs

0 rewiews
Explore data-efficient algorithms for resource management problems using Hindsight Learning in Exo-MDPs, outperforming traditional methods in various applications including cloud resource allocation.
Add to list
1 Lesons
51 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Reinforcement Learning via Stochastic Control

0 rewiews
Explore reinforcement learning in continuous time and space, examining stochastic control theory's role and recent developments in this emerging field.
Add to list
1 Lesons
39 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Towards Fast Autonomous Learners: Advances in Reinforcement Learning - 2015

0 rewiews
Explore reinforcement learning for AI agents interacting with humans, focusing on sample efficiency and transfer learning to improve educational tools and decision-making systems.
Add to list
16 Lesons
57 minutes
On-Demand
Free-Video
Max Planck Science

Global Guarantees for Policy Gradient Methods

0 rewiews
Explore global guarantees for policy gradient methods in reinforcement learning, examining theoretical foundations and practical implications.
Add to list
1 Lesons
59 minutes
On-Demand
Free-Video
Google TechTalks

Fixed-point Error Bounds for Mean-payoff Markov Decision Processes

0 rewiews
Explore optimal transport techniques for deriving finite-time error bounds in reinforcement learning, focusing on mean-payoff Markov decision processes and stochastic fixed point iterations.
Add to list
1 Lesons
58 minutes
On-Demand
Free-Video
Dave Churchill

Intro to Artificial Intelligence - MDP and Dynamic Programming - Lecture 15

0 rewiews
Explore Markov Decision Processes and Dynamic Programming in AI, learning algorithmic techniques for modern problem-solving in game environments.
Add to list
1 Lesons
43 minutes
On-Demand
Free-Video
Dave Churchill

COMP3200 - Introduction to Artificial Intelligence - MDP and Dynamic Programming - Lecture 16

0 rewiews
Explore Markov Decision Processes and Dynamic Programming in AI, learning algorithmic techniques for modern problem-solving in game environments.
Add to list
1 Lesons
52 minutes
On-Demand
Free-Video
Dave Churchill

Intro to Artificial Intelligence - RL Monte Carlo Methods - Lecture 17

0 rewiews
Explore Monte Carlo methods in reinforcement learning, applying algorithmic techniques to solve AI problems in gaming environments.
Add to list
1 Lesons
53 minutes
On-Demand
Free-Video
Dave Churchill

Introduction to Artificial Intelligence - Lecture 15: Intro to Reinforcement Learning

0 rewiews
Explore reinforcement learning fundamentals, including key concepts and applications in AI problem-solving environments for modern algorithmic techniques.
Add to list
1 Lesons
48 minutes
On-Demand
Free-Video
Dave Churchill

Intro to Artificial Intelligence - Markov Decision Process (MDP) - Lecture 17

0 rewiews
Explore Markov Decision Processes (MDPs) in AI, learning algorithmic techniques for modern problem-solving in uncertain environments.
Add to list
1 Lesons
45 minutes
On-Demand
Free-Video
VinAI

Faster Saddle-Point Optimization for Solving Large-Scale Markov Decision Processes

0 rewiews
Explore advanced techniques for optimizing large-scale Markov decision processes using saddle-point methods. Gain insights into theoretical reinforcement learning and linear programming formulations.
Add to list
1 Lesons
40 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Reinforcement Learning and Architectures of Intelligence - Part 1

0 rewiews
Explore reinforcement learning and intelligence architectures with Microsoft Research's Ida Momennejad in this comprehensive tutorial from IPAM's Mathematics of Intelligences series.
Add to list
1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Introduction to Reinforcement Learning Theory and Methods - Lecture 1

0 rewiews
Master the fundamentals of reinforcement learning through theoretical concepts and practical applications, covering Markov decision processes, dynamic programming, and temporal differences with hands-on exercises.
Add to list
8 Lesons
1 hour 33 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

A Short Course on Reinforcement Learning - Lecture 2

0 rewiews
Master the fundamentals of reinforcement learning through comprehensive lectures covering Markov decision processes, dynamic programming, and temporal differences, with hands-on practical applications.
Add to list
8 Lesons
1 hour 24 minutes
On-Demand
Free-Video
GERAD Research Center

How to Use Mean-Field Control for Restless Bandits and Weakly Coupled MDPs

0 rewiews
Explore mean-field control techniques for resource allocation in weakly coupled MDPs and restless bandits, focusing on LP-based relaxations and asymptotic optimality.
Add to list
1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Dave Churchill

Introduction to Artificial Intelligence - Reinforcement Learning - Lecture 14

0 rewiews
Explore reinforcement learning fundamentals in AI, covering key concepts and techniques for problem-solving in modern environments.
Add to list
1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Dave Churchill

Intro to Artificial Intelligence - RL Monte Carlo Methods - Lecture 18

0 rewiews
Explore Monte Carlo methods in reinforcement learning, applying algorithmic techniques to solve AI problems in gaming environments.
Add to list
1 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Sequential Learning in Artificial Intelligence - Oral Session 4

0 rewiews
Explore cutting-edge research in sequential learning, covering robust reinforcement learning, online learning in MDPs, fairness in predict-then-optimize settings, and constrained POMDPs.
Add to list
1 Lesons
1 hour 33 minutes
On-Demand
Free-Video