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ccnets/causal-gpt-rl-unity-datasets

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.

Author / organizationccnets
License (as declared)cc-by-4.0
Downloads419 (as reported by Hugging Face)
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Created17 July 2026
Last updated at source17 August 2026
reinforcement-learningoffline-reinforcement-learningunity-ml-agentsminaricausal-gpt-rl
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