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Bolei Zhou
Introduction to Reinforcement Learning - Distributed RL Systems - Lecture 9
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强化学习分布式系统概述:探讨系统架构、参数更新方法、并行化策略,以及从DQN到AlphaStar的案例研究,深入分析分布式RL系统的发展和实现。
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34
Lesons
47 minutes
On-Demand
Free-Video
Eclipse Foundation
Challenges in Reward Design for Reinforcement Learning-based Traffic Signal Control - An Investigation Using CO2 Emission Objective
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Explore the complexities of reward design in reinforcement learning for traffic signal control, focusing on CO2 emission reduction through Deep Q-Network implementation and reward optimization strategies.
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13
Lesons
21 minutes
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Free-Video
Digi-Key
Introduction to Reinforcement Learning
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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.
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22
Lesons
1 hour 15 minutes
On-Demand
Free-Video
Alexander Amini
Reinforcement Learning
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Explore deep reinforcement learning concepts, from Q-functions to policy gradients, with applications in gaming, robotics, and AI. Gain insights into cutting-edge techniques and real-world implementations.
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14
Lesons
58 minutes
On-Demand
Free-Video
Pascal Poupart
Deep Q-Networks
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Learn advanced reinforcement learning techniques, focusing on Deep Q-Networks. Explore approximation, optimization, and practical implementations to enhance AI decision-making capabilities.
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15
Lesons
41 minutes
On-Demand
Free-Video
deeplizard
Deep Q-Network Image Processing and Environment Management - Reinforcement Learning Code Project
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Learn to manage environments and process images for deep Q-networks in reinforcement learning, focusing on the cart and pole problem implementation.
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1
Lesons
22 minutes
On-Demand
Free-Video
Alexander Amini
Reinforcement Learning - MIT 6.S191 Lecture 5
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Comprehensive exploration of deep reinforcement learning, covering Q-functions, policy gradients, and real-world applications like AlphaGo. Ideal for understanding RL fundamentals and advanced concepts.
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14
Lesons
1 hour
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Free-Video
echohive
Deep Reinforcement Learning Agent for Snake Game
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Explore deep reinforcement learning as an AI agent masters the classic snake game, with code review and optimization techniques for Python-based machine learning projects.
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7
Lesons
33 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
Alexander Amini
Reinforcement Learning
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Comprehensive exploration of deep reinforcement learning, covering Q-functions, policy gradients, and real-world applications like AlphaGo. Ideal for understanding RL fundamentals and advanced concepts.
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14
Lesons
57 minutes
On-Demand
Free-Video
Alexander Amini
Reinforcement Learning
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Explore deep reinforcement learning concepts, from Q-functions to policy gradients, with applications in Atari games, real-world scenarios, and groundbreaking AI like AlphaGo.
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14
Lesons
44 minutes
On-Demand
Free-Video
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