Projects

articles

Mastering Atari's Pong with Reinforcement Learning: Overcoming Sparse Rewards and Optimizing Performance

Train an RL agent to master Atari's Pong with sparse rewards and high-dimensional inputs. Explore preprocessing, replay buffers, and performance-boosting strategies

Solving Gymnasium's Car Racing with Reinforcement Learning

Learn how to apply reinforcement learning to solve Gymnasium's Car Racing game, see how different algorithms perform, and explore whether discrete or continuous action spaces are better.

Using Multi-Agent Reinforcement Learning to play OpenSpiel's Connect 4 with Ray's RLlib

Discover how self-play can be used to train a reinforcement learning agent to master Connect 4, achieving advanced strategies without human intervention

Michael Kudlaty

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November 1, 2024

Projects

Mastering Atari's Pong with Reinforcement Learning: Overcoming Sparse Rewards and Optimizing Performance

Solving Gymnasium's Car Racing with Reinforcement Learning

Using Multi-Agent Reinforcement Learning to play OpenSpiel's Connect 4 with Ray's RLlib

Solving Gymnasium's Lunar Lander with Deep Q Learning (DQN)

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