"policy distillation" Papers

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How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning

Max Weltevrede, Moritz Zanger, Matthijs Spaan et al.

NEURIPS 2025arXiv:2505.16581

LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers

Avisek Naug, Antonio Guillen-Perez, Vineet Kumar et al.

NEURIPS 2025arXiv:2511.00116
1
citations

Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds

Fan Wang, Pengtao Shao, Yiming Zhang et al.

NEURIPS 2025arXiv:2502.02869
2
citations

UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping

Wenbo Wang, Fangyun Wei, Lei Zhou et al.

CVPR 2025arXiv:2412.02699
16
citations

Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control

Zheng Xiong, Risto Vuorio, Jacob Beck et al.

ICML 2024arXiv:2402.06570
7
citations