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Reinforcement Learning on Box-Pushing sparse

Reinforcement Learning on Box-Pushing sparse

17Environment Steps (M)T-SAC

Updated 4mo ago

Evaluation results

Method	Links
T-SAC2025.03		17
TOP-ERL2025.03		4

State-of-the-art paper

T-SAC

Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step Returns

Dataset

BOX PUSHING

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Related benchmarks

Reinforcement Learning on Box-Pushing dense Robotic Manipulation on Box-Pushing dense (max 20M steps)Robotic Manipulation on Box-Pushing sparse (max 20M steps)Meta-Reinforcement Learning on Meta-World ML1 max 5M steps Reinforcement Learning on ML1

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