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https://github.com/chenglongchen/pytorch-drl
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
https://github.com/chenglongchen/pytorch-drl
a2c acktr actor-critic advantage-actor-critic ddpg deep-deterministic-policy-gradient deep-q-network deep-reinforcement-learning dqn drl madrl multi-agent ppo proximal-policy-optimization pytorch reinforcement-learning rl
Last synced: about 18 hours ago
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PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
- Host: GitHub
- URL: https://github.com/chenglongchen/pytorch-drl
- Owner: ChenglongChen
- License: mit
- Created: 2017-10-26T16:45:12.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2017-11-11T12:17:06.000Z (about 7 years ago)
- Last Synced: 2024-07-27T07:11:38.558Z (4 months ago)
- Topics: a2c, acktr, actor-critic, advantage-actor-critic, ddpg, deep-deterministic-policy-gradient, deep-q-network, deep-reinforcement-learning, dqn, drl, madrl, multi-agent, ppo, proximal-policy-optimization, pytorch, reinforcement-learning, rl
- Language: Python
- Homepage:
- Size: 254 KB
- Stars: 516
- Watchers: 12
- Forks: 106
- Open Issues: 6