Divide-and-Conquer Reinforcement Learning

27 November 2017

Dibya Ghosh

Avi Singh

Aravind Rajeswaran

Vikash Kumar

Sergey Levine

OffRL

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Papers citing "Divide-and-Conquer Reinforcement Learning"

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RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Charles Xu Qiyang Li Jianlan Luo Sergey Levine OffRL 98 5 0 13 Dec 2024
GSL-PCD: Improving Generalist-Specialist Learning with Point Cloud Feature-based Task Partitioning Xiu Yuan 41 0 0 11 Nov 2024
AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries Bingjie Tang Iretiayo Akinola Jie Xu Bowen Wen Ankur Handa Karl Van Wyk Dieter Fox Gaurav Sukhatme Fabio Ramos Yashraj S. Narang 46 13 0 10 Jul 2024
Multi-objective Reinforcement learning from AI Feedback Marcus Williams 46 1 0 11 Jun 2024
Shared learning of powertrain control policies for vehicle fleets Lindsey Kerbel B. Ayalew Andrej Ivanco 31 0 0 27 Apr 2024
PhysReaction: Physically Plausible Real-Time Humanoid Reaction Synthesis via Forward Dynamics Guided 4D Imitation Yunze Liu Changxi Chen Chenjing Ding Li Yi 36 6 0 01 Apr 2024
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots Thomas Lampe A. Abdolmaleki Sarah Bechtle Sandy H. Huang Jost Tobias Springenberg ... Markus Wulfmeier Jingwei Zhang Francesco Nori N. Heess Martin Riedmiller OffRL 40 9 0 18 Dec 2023
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems C. Banerjee Kien Nguyen Clinton Fookes M. Raissi PINN AI4CE 33 9 0 05 Sep 2023
Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot Tao Huang Kai-xiang Chen Wang Wei Jianan Li Yonghao Long Qi Dou OffRL 26 6 0 31 Jul 2023
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation Wen-Min Zhou Bowen Jiang Fan Yang Chris Paxton David Held 28 32 0 06 May 2023
Exploiting Symmetry and Heuristic Demonstrations in Off-policy Reinforcement Learning for Robotic Manipulation Amir M. Soufi Enayati Zengjie Zhang Kashish Gupta Homayoun Najjaran OffRL 16 0 0 12 Apr 2023
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning Weikang Wan Haoran Geng Yun-Hai Liu Zikang Shan Yaodong Yang Li Yi He Wang 50 94 0 02 Apr 2023
Goal-conditioned Offline Reinforcement Learning through State Space Partitioning Mianchu Wang Yue Jin Giovanni Montana OffRL 21 3 0 16 Mar 2023
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing Grace Zhang Ayush Jain Injune Hwang Shao-Hua Sun Joseph J. Lim 35 4 0 01 Feb 2023
PADL: Language-Directed Physics-Based Character Control Jordan Juravsky Yunrong Guo Sanja Fidler Xue Bin Peng 27 43 0 31 Jan 2023
A Constrained-Optimization Approach to the Execution of Prioritized Stacks of Learned Multi-Robot Tasks Gennaro Notomista 33 2 0 13 Jan 2023
Improving generalization in reinforcement learning through forked agents Olivier Moulin Vincent François-Lavet Mark Hoogendoorn AI4CE 28 0 0 13 Dec 2022
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 23 8 0 14 Nov 2022
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity Wen-Min Zhou David Held OffRL 13 59 0 02 Nov 2022
Symbolic Distillation for Learned TCP Congestion Control S. Sharan Wenqing Zheng Kuo-Feng Hsu Jiarong Xing Ang Chen Zhangyang Wang 26 5 0 24 Oct 2022
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach H. Fernando Han Shen Miao Liu Subhajit Chaudhury K. Murugesan Tianyi Chen 41 8 0 23 Oct 2022
Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization Y. Kadokawa Lingwei Zhu Yoshihisa Tsurumine Takamitsu Matsubara 31 7 0 29 Jul 2022
Improving Policy Optimization with Generalist-Specialist Learning Zhiwei Jia Xuanlin Li Z. Ling Shuang Liu Yiran Wu H. Su OffRL 32 24 0 26 Jun 2022
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble Zhengyu Yang Kan Ren Xufang Luo Minghuan Liu Weiqing Liu Jiang Bian Weinan Zhang Dongsheng Li 38 20 0 19 May 2022
Multi-Agent Policy Transfer via Task Relationship Modeling Rongjun Qin F. Chen Tonghan Wang Lei Yuan Xiaoran Wu Zongzhang Zhang Chongjie Zhang Yang Yu 38 19 0 09 Mar 2022
Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges J. Luis Skylar Eiskowitz Nils Pachler de la Osa E. Crawley B. Cameron 23 5 0 11 Dec 2021
Specializing Versatile Skill Libraries using Local Mixture of Experts Onur Celik Dongzhuoran Zhou Gen Li P. Becker Gerhard Neumann 6 37 0 08 Dec 2021
Homotopy Based Reinforcement Learning with Maximum Entropy for Autonomous Air Combat Yiwen Zhu Zhou Fang Yuan Zheng Wenya Wei 10 2 0 01 Dec 2021
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization Youngwoon Lee Joseph J. Lim Anima Anandkumar Yuke Zhu OffRL 31 40 0 15 Nov 2021
Conflict-Averse Gradient Descent for Multi-task Learning Bo Liu Xingchao Liu Xiaojie Jin Peter Stone Qiang Liu 47 298 0 26 Oct 2021
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning Jinxin Liu Hao Shen Donglin Wang Yachen Kang Qiangxing Tian 32 19 0 25 Oct 2021
Mixture-of-Variational-Experts for Continual Learning Y. Yin Yu Wang CLL FedML 23 6 0 25 Oct 2021
Hierarchical Skills for Efficient Exploration Jonas Gehring Gabriel Synnaeve Andreas Krause Nicolas Usunier 28 40 0 20 Oct 2021
Training Transition Policies via Distribution Matching for Complex Tasks Ju-Seung Byun Andrew Perrault 13 6 0 08 Oct 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 35 77 0 16 Sep 2021
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation Tiantian Zhang Xueqian Wang Bin Liang Bo Yuan OffRL 37 18 0 01 Sep 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability Dibya Ghosh Jad Rahme Aviral Kumar Amy Zhang Ryan P. Adams Sergey Levine OffRL 283 109 0 13 Jul 2021
Hierarchical Neural Dynamic Policies Shikhar Bahl Abhinav Gupta Deepak Pathak BDL 33 27 0 12 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Clustering and attention model based for intelligent trading Mimansa Rana Nanxiang Mao Ming Ao Xiaohui Wu Poning Liang Matloob Khushi 26 1 0 06 Jul 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 47 271 0 16 Apr 2021
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation Chenyang Zhao Timothy M. Hospedales OOD 33 16 0 09 Dec 2020
Neural Dynamic Policies for End-to-End Sensorimotor Learning Shikhar Bahl Mustafa Mukadam Abhinav Gupta Deepak Pathak 24 83 0 04 Dec 2020
Specialization in Hierarchical Learning Systems Heinke Hihn Daniel A. Braun 29 16 0 03 Nov 2020
Cooperative Heterogeneous Deep Reinforcement Learning Han Zheng Pengfei Wei Jing Jiang Guodong Long Qinghua Lu Chengqi Zhang 51 12 0 02 Nov 2020
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design J. Luis E. Crawley B. Cameron 26 6 0 15 Oct 2020
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning Daniele Reda Tianxin Tao M. van de Panne AI4CE 8 52 0 09 Oct 2020
WDN: A Wide and Deep Network to Divide-and-Conquer Image Super-resolution Vikram Singh Anurag Mittal SupR 27 2 0 07 Oct 2020
Towards Generalization and Data Efficient Learning of Deep Robotic Grasping Zhixin Chen Mengxiang Lin Zhixin Jia Shibo Jian 14 6 0 02 Jul 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning Maximilian Igl Gregory Farquhar Jelena Luketina Wendelin Boehmer Shimon Whiteson 27 84 0 10 Jun 2020