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#Policy Gradient

Showing: 17 courses

Reinforcement Learning Course

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Comprehensive exploration of reinforcement learning concepts, from basics to advanced topics, including deep RL, policy gradients, and practical applications in classic games.
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10 Lesons
17 hours
On-Demand
Free-Video
Serrano.Academy

Neural Networks

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This Course is a friendly introduction series to machine learning, deep learning, neural networks and generative adversarial networks.
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6 Lesons
3 hours 30 minutes
On-Demand
Free-Video
TensorFlow

TF-Agents - A Flexible Reinforcement Learning Library for TensorFlow

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Explore TF-Agents, a flexible Deep Reinforcement Learning library for TensorFlow. Learn about recent advancements, implementation techniques, and how to jumpstart your RL projects using this modular open-source tool.
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5 Lesons
39 minutes
On-Demand
Free-Video
TensorFlow

TensorFlow and Deep Reinforcement Learning, Without a PhD - Google I/O '18

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Learn to implement deep reinforcement learning with TensorFlow, teaching a neural network to play Pong using only pixel data. No prior expertise required.
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12 Lesons
41 minutes
On-Demand
Free-Video
Discover AI

Chain-of-Thought Limitations and Google's SCoRe Method for Language Models

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Discover how Google's SCoRe method revolutionizes language models' self-correction abilities through reinforcement learning, surpassing traditional chain-of-thought approaches in mathematical reasoning and code generation.
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1 Lesons
54 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

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

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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.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Data Science Courses

Deep Learning: Deep Reinforcement Learning and Policy Gradients - Lecture 13

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Dive into advanced deep reinforcement learning concepts including policy gradients, REINFORCE algorithm, and their applications in Atari games and Go, taught by Ali Ghodsi.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Simons Institute

Learning Decentralized Policies in Multiagent Systems - How to Learn Efficiently

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Explore decentralized policy learning in multiagent systems, focusing on scalable actor-critic methods, network structures, and performance characterization using stochastic game frameworks.
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18 Lesons
51 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP 2019 - Reinforcement Learning

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Explore reinforcement learning in NLP, covering policy gradient, REINFORCE, value-based methods, and applications in dialogue and information retrieval.
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18 Lesons
54 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP - Minimum Risk Training and Reinforcement Learning

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Explore minimum risk training and reinforcement learning in NLP, covering error analysis, policy gradients, and value-based methods to enhance neural network performance.
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21 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Pascal Poupart

Trust Region Policy Optimization

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Explore trust region policy optimization in reinforcement learning, covering key concepts like policy gradient, KL-penalized problems, and the TRPO algorithm.
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11 Lesons
23 minutes
On-Demand
Free-Video
Simons Institute

Backpropagation and Deep Learning in the Brain

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Explore deep learning in the brain, backpropagation, and credit assignment algorithms. Discover neuroscience evidence and new models of neurons in this computational brain theory talk.
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23 Lesons
1 hour
On-Demand
Free-Video
Open Data Science

Introduction to Reinforcement Learning

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Explore reinforcement learning's evolution, breakthroughs, and applications in AI, from board games to robotics. Gain insights into key concepts, formulations, and future directions in this rapidly advancing field.
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46 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Paul G. Allen School

ADSI Summer Workshop- Algorithmic Foundations of Learning and Control

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Explore model-based control for physical systems, covering inverse dynamics, optimization techniques, and automated discovery methods for advanced robotics and control applications.
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11 Lesons
49 minutes
On-Demand
Free-Video
Serrano.Academy

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

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

MIT: Reinforcement Learning

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Explore deep reinforcement learning concepts, algorithms, and real-world applications in this comprehensive lecture from MIT's Introduction to Deep Learning course.
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15 Lesons
55 minutes
On-Demand
Free-Video
HUJI Machine Learning Club

Real-World AI: Risk and Robustness in Reinforcement Learning and Kalman Filtering

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Explore real-world applications of AI through risk-aware reinforcement learning and robust Kalman filtering, focusing on practical challenges and solutions for handling uncertainties in AI systems.
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1 Lesons
58 minutes
On-Demand
Free-Video