主题

Atari

2 篇文章

实验2024年12月1日

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

Atari强化学习

阅读文章

实验2024年10月1日

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

阅读文章