Linking pages
- Introducing Google Research Football: A Novel Reinforcement Learning Environment – Google AI Blog https://ai.googleblog.com/2019/06/introducing-google-research-football.html 29 comments
- GitHub - google-research/seed_rl: SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture. https://github.com/google-research/seed_rl 20 comments
- GitHub - marlbenchmark/on-policy: This is the official implementation of Multi-Agent PPO (MAPPO). https://github.com/marlbenchmark/on-policy 7 comments
- GitHub - clvrai/awesome-rl-envs https://github.com/clvrai/awesome-rl-envs 2 comments
- 2019’s Top Machine Learning Articles | by Derrick Mwiti | Heartbeat https://heartbeat.fritz.ai/2019s-top-machine-learning-articles-49082b4ca946 0 comments
- GitHub - opendilab/DI-engine: OpenDILab Decision AI Engine https://github.com/opendilab/DI-engine 0 comments
- GitHub - opendilab/ACE: [AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency". https://github.com/opendilab/ACE 0 comments
- GitHub - eddwebster/football_analytics: 📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community. https://github.com/eddwebster/football_analytics 0 comments
Linked pages
- Homebrew — The Missing Package Manager for macOS (or Linux) https://brew.sh 184 comments
- Download Python | Python.org https://www.python.org/downloads/ 77 comments
- Git - Downloading Package https://git-scm.com/download/win 31 comments
- Introducing Google Research Football: A Novel Reinforcement Learning Environment – Google AI Blog https://ai.googleblog.com/2019/06/introducing-google-research-football.html 29 comments
- Google Research Football with Manchester City F.C. | Kaggle https://www.kaggle.com/c/google-football 0 comments
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