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Atari

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실험2024년 12월 1일

Beginner's Guide to Model-Based Reinforcement Learning (MBRL) with Atari's Breakout

A beginner's walkthrough of Model-Based Reinforcement Learning on Atari's Breakout: training an action-conditional world model that predicts frames, rewards and terminals, then learning a PPO policy entirely inside it with SimPLe

Atari강화학습

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실험2024년 10월 1일

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

GymnasiumDQNPPOAtari

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