Researchers at the University of Oxford Introduce Craftax: A Machine Learning Benchmark for Open-Ended Reinforcement Learning

Building and using appropriate benchmarks is a major driver of advancement in RL algorithms. For value-based deep RL algorithms, there’s the Arcade Learning Environment; for continuous control, there’s Mujoco; and for multi-agent RL, there’s the StarCraft Multi-Agent Challenge. Benchmarks that demonstrate more open-ended dynamics, such as procedural world generation, skill acquisition and reuse, long-term dependencies, […]

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