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#AlphaZero

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Alexander Amini

MIT: Deep Reinforcement Learning

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Explore deep reinforcement learning concepts, algorithms, and applications, including Q-learning, policy gradients, and breakthroughs like AlphaGo and AlphaZero in game AI.
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13 Lesons
45 minutes
On-Demand
Free-Video
Brandon Rohrer

Getting Closer to Human Intelligence Through Robotics

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Explore how robotics research can advance AI towards human-level intelligence by relaxing current assumptions and focusing on physical interaction and broader capabilities.
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10 Lesons
46 minutes
On-Demand
Free-Video
GERAD Research Center

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning

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Explore game-theoretic reinforcement learning combining tree-search, generative models, and Nash bargaining concepts for multiagent scenarios and negotiation games.
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8 Lesons
56 minutes
On-Demand
Free-Video
Pascal Poupart

Mastering Chess and Shogi

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Explore AlphaZero's revolutionary approach to chess and shogi, covering its architecture, training process, and impressive results compared to traditional AI methods.
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25 Lesons
25 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

DeepMind's AlphaGo Zero and AlphaZero - RL Paper Explained

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Explore DeepMind's revolutionary AI agents that mastered Go, Chess, and Shogi through self-play, without human knowledge. Learn about their inner workings, training process, and groundbreaking results.
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14 Lesons
42 minutes
On-Demand
Free-Video
Yannic Kilcher

Assessing Game Balance with AlphaZero - Exploring Alternative Rule Sets in Chess

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Explore how AlphaZero assesses chess variants, analyzing game dynamics and strategic changes resulting from rule modifications. Gain insights into AI's potential for game design and balance evaluation.
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8 Lesons
43 minutes
On-Demand
Free-Video
MITCBMM

The Power of Self-Learning Systems

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Explore cutting-edge AI breakthroughs and their implications for scientific discovery with DeepMind's CEO. Learn about self-learning systems, game-changing algorithms, and applications beyond gaming.
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23 Lesons
1 hour 4 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
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
Chris Hay

Write Your Own AI Agent with Monte Carlo Tree Search - Building a Tic-Tac-Toe Game

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Master Monte Carlo Tree Search algorithm implementation by building a Tic-Tac-Toe AI agent, exploring its applications in modern AI systems like AlphaGo and O1 models.
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1 Lesons
32 minutes
On-Demand
Free-Video