https://github.com/epignatelli/human-level-control-through-deep-reinforcement-learning
A jax/stax implementation of: Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A.A., Veness, J., Bellemare, M.G., Graves, A., Riedmiller, M., Fidjeland, A.K., Ostrovski, G. and Petersen, S., 2015. Human-level control through deep reinforcement learning. nature, 518(7540), pp.529-533.
https://github.com/epignatelli/human-level-control-through-deep-reinforcement-learning
atari deep-reinforcement-learning deepmind dqn jax papers-with-code reinforcement-learning reinforcement-learning-algorithms stax
Last synced: 4 months ago
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A jax/stax implementation of: Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A.A., Veness, J., Bellemare, M.G., Graves, A., Riedmiller, M., Fidjeland, A.K., Ostrovski, G. and Petersen, S., 2015. Human-level control through deep reinforcement learning. nature, 518(7540), pp.529-533.
- Host: GitHub
- URL: https://github.com/epignatelli/human-level-control-through-deep-reinforcement-learning
- Owner: epignatelli
- License: apache-2.0
- Created: 2020-07-20T08:51:55.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-12-07T13:47:31.000Z (over 4 years ago)
- Last Synced: 2023-03-10T12:12:15.210Z (over 2 years ago)
- Topics: atari, deep-reinforcement-learning, deepmind, dqn, jax, papers-with-code, reinforcement-learning, reinforcement-learning-algorithms, stax
- Language: Python
- Homepage:
- Size: 81.1 KB
- Stars: 4
- Watchers: 0
- Forks: 2
- Open Issues: 0