https://github.com/legalaspro/rl-odyssey
RL-Odyssey is a research framework for continuous control that implements state-of-the-art RL algorithms (SAC, TD3, PPO, etc.) with clean experiment scripts and interactive notebooks.
https://github.com/legalaspro/rl-odyssey
a3c actor-critic continuous-control ddpg deep-learning deep-reinforcement-learning dm-control gymnasium mujoco policy-gradient ppo proximal-policy-optimization pytorch reinforcement-learning sac soft-actor-critic td3 trpo trust-region-policy-optimization
Last synced: 9 months ago
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RL-Odyssey is a research framework for continuous control that implements state-of-the-art RL algorithms (SAC, TD3, PPO, etc.) with clean experiment scripts and interactive notebooks.
- Host: GitHub
- URL: https://github.com/legalaspro/rl-odyssey
- Owner: legalaspro
- License: mit
- Created: 2025-03-03T23:18:09.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-03-03T23:49:04.000Z (9 months ago)
- Last Synced: 2025-03-04T00:27:34.639Z (9 months ago)
- Topics: a3c, actor-critic, continuous-control, ddpg, deep-learning, deep-reinforcement-learning, dm-control, gymnasium, mujoco, policy-gradient, ppo, proximal-policy-optimization, pytorch, reinforcement-learning, sac, soft-actor-critic, td3, trpo, trust-region-policy-optimization
- Language: Jupyter Notebook
- Homepage:
- Size: 65.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0