Deep Reinforcement Learning Implementations (Course Projects)

Published:

GitHub Repository

  • Imitation Learning: Implemented Flow Matching vs. MSE for Action Chunking in Push-T environments.
  • Online RL: Implemented major RL algorithms (e.g. GAE, DQN, SAC) on Atari and MuJoCo tasks.
  • LLM RL: Fine-tuned LLMs using GRPO and GR-REINFORCE for complex mathematical reasoning tasks.
  • Authored a literature review on In-context RL. [PDF]
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