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#Sequential Decision Making

Showing: 24 courses
Computational Genomics Summer Institute CGSI

Bridging the Gap: Deep Learning and Causality

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Explore the intersection of deep learning and causality, focusing on bridging the gap between these fields. Gain insights into recent advancements and their applications in computational genomics.
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1 Lesons
26 minutes
On-Demand
Free-Video
Institute for Advanced Study

Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin

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Explore efficient reinforcement learning with linear function approximation, covering key concepts like sample efficiency, value-based algorithms, and exploration in multi-armed bandits and linear MDPs.
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14 Lesons
28 minutes
On-Demand
Free-Video
Fields Institute

Inference of Utilities and Time Preference in Sequential Decision-Making

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Explore utility inference and time preference in sequential decision-making, focusing on mathematical finance applications and advanced analytical techniques.
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1 Lesons
29 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

Risk-Sensitive Bandits - Arm Mixtures Optimality and Regret-Efficient Algorithms

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Delve into risk-aware sequential decision-making through distortion riskmetrics, exploring optimal arm mixture strategies and new algorithms for tracking these mixtures in multi-armed bandit problems.
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1 Lesons
1 hour 16 minutes
On-Demand
Free-Video
Bolei Zhou

Toward Generalizable Embodied AI for Machine Autonomy

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Explore recent advancements in machine autonomy, focusing on generalizable embodied AI through sequential decision-making, simulation environments, and human-AI collaboration.
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17 Lesons
56 minutes
On-Demand
Free-Video
Yannic Kilcher

Divide-and-Conquer Monte Carlo Tree Search for Goal-Directed Planning - Paper Explained

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Explores a novel AI planning approach using divide-and-conquer Monte Carlo Tree Search, proposing intermediate goals to break complex problems into manageable sub-tasks for more efficient problem-solving.
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10 Lesons
26 minutes
On-Demand
Free-Video
Simons Institute

Better Learning from the Past - Counterfactual - Batch RL

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Explore counterfactual and batch reinforcement learning for improved decision-making under uncertainty, with focus on generalization bounds and policy optimization techniques.
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19 Lesons
41 minutes
On-Demand
Free-Video
Simons Institute

Off-Policy Policy Optimization

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Explore advanced reinforcement learning techniques, focusing on off-policy optimization, batch methods, and sequential decision-making in deep learning contexts.
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8 Lesons
53 minutes
On-Demand
Free-Video
Simons Institute

What Are the Statistical Limits of Offline Reinforcement Learning With Function Approximation?

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Explore statistical limitations in offline reinforcement learning with function approximation, covering realizability, coverage, policy evaluation, and practical considerations.
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26 Lesons
55 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Task-Driven Network Discovery via Deep Reinforcement Learning on Embedded Spaces

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Explore task-driven network discovery using deep reinforcement learning on embedded spaces. Learn about improving network observability and optimizing data collection for accurate analysis.
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23 Lesons
28 minutes
On-Demand
Free-Video
Simons Institute

Decision Diagrams for Efficient Inference and Optimization in Expressive Discrete-Continuous Domains

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Explore extended algebraic decision diagrams (XADDs) for representing piecewise functions, enabling efficient computations and novel solutions in probabilistic inference, optimization, and decision-making.
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1 Lesons
45 minutes
On-Demand
Free-Video
Alan Turing Institute

Adaptive Sampling via Sequential Decision Making - András György

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Explore adaptive sampling methods using multi-armed bandit algorithms and MCMC samplers to optimize resource allocation and improve sample quality in machine learning applications.
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1 Lesons
59 minutes
On-Demand
Free-Video
GOTO Conferences

How to Leverage Reinforcement Learning

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Explore reinforcement learning's key concepts, industry applications, and potential impact on business strategies. Gain insights into problem definition, interpretability challenges, and real-life implementations of RL algorithms.
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17 Lesons
1 hour 14 minutes
On-Demand
Free-Video
GOTO Conferences

How to Leverage Reinforcement Learning

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Explore reinforcement learning's key concepts, industry applications, and implementation challenges with experts Phil Winder and Rebecca Nugent. Gain insights on problem definition, getting started, and managing risks in RL projects.
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1 Lesons
1 hour 12 minutes
On-Demand
Free-Video
GERAD Research Center

Hindsight Learning for MDPs with Exogenous Inputs

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Explore data-efficient algorithms for resource management problems using Hindsight Learning in Exo-MDPs, outperforming traditional methods in various applications including cloud resource allocation.
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1 Lesons
51 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Foundation Models and the Transfer of Embodied Autonomy

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Explore challenges in developing foundation models for sequential decision-making, including transfer learning, and discuss future research directions in embodied autonomy.
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1 Lesons
41 minutes
On-Demand
Free-Video
Google TechTalks

High-Dimensional Prediction for Sequential Decision Making

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Explore efficient algorithms for online high-dimensional predictions, enabling no-regret guarantees, fairness, and uncertainty quantification in multiclass settings for improved decision-making.
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1 Lesons
49 minutes
On-Demand
Free-Video
USC Probability and Statistics Seminar

Continuous-in-time Limit for Bandits

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Explore the connection between Hamilton-Jacobi-Bellman equations and multi-armed bandit problems, and discover an efficient algorithm for solving MAB challenges.
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1 Lesons
44 minutes
On-Demand
Free-Video
Simons Institute

Adversarial Bandits: Theory and Algorithms

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Explore adversarial multi-armed bandit theory, algorithms, and recent advances in data-dependent regret guarantees, structural bandits, and more. Compare full-information and bandit feedback in online learning.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Deep Reinforcement Learning for Sequential Decision Making Tasks with Natural Language Interaction

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Explore deep reinforcement learning applications in natural language tasks, focusing on querying ambiguous texts and navigating 3D mazes with unseen instructions using hierarchical architectures.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Google TechTalks

Online Prediction in Sub-linear Space

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Explore innovative algorithms for online learning with expert advice, focusing on sub-linear memory solutions and their implications for sequential decision-making.
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1 Lesons
1 hour
On-Demand
Free-Video
VinAI

Generative Sequence Models for Sequential Decision Making

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Explore generative sequence models for decision-making under uncertainty. Learn how Transformer architecture and language modeling advances can enhance offline learning, online exploration, and multi-task generalization in AI.
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1 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Learning Libraries of Programmatic Policies

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Discover how artificial agents can learn and maintain libraries of reusable behaviors for solving sequential decision-making problems through programming and neural network approaches.
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1 Lesons
54 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Sequential Decision Making Under Uncertainty - Information Asymmetry in AI Systems

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Delve into sequential decision-making under uncertainty, exploring persuasion and mechanism design in information asymmetry scenarios, with applications to AI and dynamic modeling frameworks.
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1 Lesons
53 minutes
On-Demand
Free-Video