datamllab/awesome-game-ai
An awesome list of multi-agent reinforcement learning resources for game AI, covering frameworks, papers, and tools.

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This repository curates resources on game AI with a focus on multi-agent learning. It documents concepts like single-agent versus multi-agent game environments and highlights key achievements in the field, including AlphaGo and deep Q-learning applications to Atari games. The list serves as a reference for researchers and developers working on reinforcement learning in competitive gaming scenarios.
Frequently asked
- What is datamllab/awesome-game-ai?
- An awesome list of multi-agent reinforcement learning resources for game AI, covering frameworks, papers, and tools.
- Is awesome-game-ai open source?
- Yes — datamllab/awesome-game-ai is open source, released under the MIT license.
- How popular is awesome-game-ai?
- datamllab/awesome-game-ai has 972 stars on GitHub.
- Where can I find awesome-game-ai?
- datamllab/awesome-game-ai is on GitHub at https://github.com/datamllab/awesome-game-ai.