https://github.com/ladofa/janggi
GitHub - ladofa/janggi: 야매장기 - 알파고를 참고한 장기 AI
야매장기 - 알파고를 참고한 장기 AI. Contribute to ladofa/janggi development by creating an account on GitHub.
github.com
https://github.com/opendilab/ACE
GitHub - opendilab/ACE: [AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidir
[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency". - GitHub - opendilab/ACE: [AAAI 2023] Official PyTorch...
github.com
https://paperswithcode.com/paper/ace-cooperative-multi-agent-q-learning-with
Papers with Code - ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency
🏆 SOTA for SMAC on SMAC 3s5z_vs_3s6z (Median Win Rate metric)
paperswithcode.com
https://paperswithcode.com/dataset/smac
Papers with Code - SMAC Dataset
The StarCraft Multi-Agent Challenge (SMAC) is a benchmark that provides elements of partial observability, challenging dynamics, and high-dimensional observation spaces. SMAC is built using the StarCraft II game engine, creating a testbed for research in c
paperswithcode.com
https://arxiv.org/pdf/2211.16068v2.pdf
https://pathak22.github.io/noreward-rl/
Curiosity-driven Exploration by Self-supervised Prediction
Pathak, Agrawal, Efros, Darrell. Curiosity-driven Exploration by Self-supervised Prediction. In ICML, 2017.
pathak22.github.io
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