Avalon-Benchmark/avalon
A 3D video game environment and benchmark designed from scratch for reinforcement learning research
Avalon is a 3D video game environment designed to help AI researchers test and develop reinforcement learning (RL) agents. It provides a consistent setup where RL agents, like virtual robots or characters, learn to solve tasks such as navigating, hunting, or gathering within procedurally generated virtual worlds. Researchers input their RL algorithms and receive performance metrics, observations, and agent actions, allowing them to assess how well their agents generalize learned skills.
190 stars. No commits in the last 6 months.
Use this if you are an AI researcher developing or evaluating reinforcement learning algorithms and need a challenging, consistent 3D environment to test agent generalization across diverse tasks.
Not ideal if you are looking for a simple, pre-trained RL agent for a specific task rather than a platform for fundamental RL research and benchmarking.
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190
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Jupyter Notebook
License
GPL-3.0
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Last pushed
May 03, 2023
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