A Gymnasium-based benchmarking suite with realistic environments for evaluating reinforcement learning algorithms in practical scenarios.
Gymnasium-based benchmarking suite for testing RL algorithms on real-world scenarios
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
A customisable 3D platform for agent-based AI research
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
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