Linking pages
- GitHub - marlbenchmark/on-policy: This is the official implementation of Multi-Agent PPO (MAPPO). https://github.com/marlbenchmark/on-policy 7 comments
- GitHub - opendilab/awesome-decision-transformer: A curated list of Decision Transformer resources (continually updated) https://github.com/opendilab/awesome-decision-transformer 0 comments
- GitHub - opendilab/DI-engine: OpenDILab Decision AI Engine https://github.com/opendilab/DI-engine 0 comments
Linked pages
- Battle.net https://battle.net 1166 comments
- WineHQ - Run Windows applications on Linux, BSD, Solaris and macOS https://winehq.org 436 comments
- GitHub - Blizzard/s2client-proto: StarCraft II Client - protocol definitions used to communicate with StarCraft II. https://github.com/blizzard/s2client-proto 252 comments
- Blizzard Entertainment http://www.blizzard.com 44 comments
- GitHub - Farama-Foundation/PettingZoo: Gymnasium for multi-agent reinforcement learning https://github.com/PettingZoo-Team/PettingZoo 14 comments
- Algorithms — Ray 2.3.0 https://ray.readthedocs.io/en/latest/rllib-algorithms.html#proximal-policy-optimization-ppo 5 comments
- [1705.08926] Counterfactual Multi-Agent Policy Gradients https://arxiv.org/abs/1705.08926 4 comments
- GitHub - pytorch/pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration https://github.com/pytorch/pytorch 1 comment
- GitHub - deepmind/pysc2: StarCraft II Learning Environment https://github.com/deepmind/pysc2 0 comments
- DeepMind https://www.deepmind.com 0 comments
- [1902.04043] The StarCraft Multi-Agent Challenge https://arxiv.org/abs/1902.04043 0 comments
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