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ccnets/
causal-gpt-rl-unity-datasets

cc-by-4.0

reinforcement-learning

offline-reinforcement-learning

unity-ml-agents

minari

causal-gpt-rl

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Causal GPT-RL — Unity ML-Agents trajectories

Recorded Unity ML-Agents trajectories packaged as Minari datasets — offline-RL datasets spanning continuous and discrete action spaces. Any offline-RL method can train on them; we built them to develop Causal GPT-RL, our new approach that works across both space types. All eight environments ship an expert tier and a full quality ladder (expert + calibrated medium/simple) synthesized by degrading the stock policy — Gaussian… See the full description on the dataset page: https://huggingface.co/datasets/ccnets/causal-gpt-rl-unity-datasets.