Linked pages
- Discovering faster matrix multiplication algorithms with reinforcement learning | Nature https://www.nature.com/articles/s41586-022-05172-4 280 comments
- [1911.08265] Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model https://arxiv.org/abs/1911.08265 169 comments
- PyTorch http://pytorch.org/ 100 comments
- [2211.00241] Adversarial Policies Beat Superhuman Go AIs https://arxiv.org/abs/2211.00241 47 comments
- [2111.00210] Mastering Atari Games with Limited Data https://arxiv.org/abs/2111.00210 13 comments
- GitHub - deepmind/mctx: Monte Carlo tree search in JAX https://github.com/deepmind/mctx 10 comments
- https://www.apache.org/licenses/LICENSE-2.0 7 comments
- [2106.06135] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning https://arxiv.org/abs/2106.06135 6 comments
- [2111.09259] Acquisition of Chess Knowledge in AlphaZero https://arxiv.org/abs/2111.09259#deepmind 6 comments
- Tic-tac-toe - Wikipedia https://en.wikipedia.org/wiki/Tic-tac-toe 5 comments
- [2104.06159] Muesli: Combining Improvements in Policy Optimization http://arxiv.org/abs/2104.06159 3 comments
- [2106.04615] Vector Quantized Models for Planning https://arxiv.org/abs/2106.04615 2 comments
- [2202.06626] MuZero with Self-competition for Rate Control in VP9 Video Compression https://arxiv.org/abs/2202.06626 1 comment
- [2104.06303] Learning and Planning in Complex Action Spaces https://arxiv.org/abs/2104.06303 1 comment
- [1902.04522] ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero https://arxiv.org/abs/1902.04522 0 comments
- GitHub - opendilab/DI-engine: OpenDILab Decision AI Engine https://github.com/opendilab/DI-engine 0 comments
- GitHub - pytorch/ELF: ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation https://github.com/pytorch/elf 0 comments
- https://www.science.org/doi/10.1126/sciadv.adg3256 0 comments
- Cart Pole - Gymnasium Documentation https://gymnasium.farama.org/environments/classic_control/cart_pole/ 0 comments
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