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https://github.com/Khrylx/PyTorch-RL
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
https://github.com/Khrylx/PyTorch-RL
a2c deep-reinforcement-learning fisher-vectors generative-adversarial-network policy-gradient ppo proximal-policy-optimization pytorch pytorch-rl reinforcement-learning trpo
Last synced: 1 day ago
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PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
- Host: GitHub
- URL: https://github.com/Khrylx/PyTorch-RL
- Owner: Khrylx
- License: mit
- Created: 2017-10-17T15:50:29.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2021-02-09T16:17:59.000Z (almost 4 years ago)
- Last Synced: 2024-10-30T02:37:10.626Z (14 days ago)
- Topics: a2c, deep-reinforcement-learning, fisher-vectors, generative-adversarial-network, policy-gradient, ppo, proximal-policy-optimization, pytorch, pytorch-rl, reinforcement-learning, trpo
- Language: Python
- Homepage:
- Size: 30.5 MB
- Stars: 1,102
- Watchers: 26
- Forks: 189
- Open Issues: 13
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Metadata Files:
- Readme: README.md
- License: LICENSE