Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents

18 December 2022

Jianye Hao

Papers citing "Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents"

32 / 32 papers shown

Title
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 77 158 0 15 Jun 2022
PerfectDou: Dominating DouDizhu with Perfect Information Distillation Yang Guan Minghuan Liu Weijun Hong Weinan Zhang Fei Fang Guangjun Zeng Yue Lin 56 26 0 30 Mar 2022
MetaMorph: Learning Universal Controllers with Transformers Agrim Gupta Linxi Fan Surya Ganguli Li Fei-Fei LM&Ro 45 95 0 22 Mar 2022
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization Minghuan Liu Zhengbang Zhu Yuzheng Zhuang Weinan Zhang Jianye Hao Yong Yu Jun Wang 60 11 0 04 Mar 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 71 140 0 20 Jan 2022
Transfer RL across Observation Feature Spaces via Model-Based Regularization Yanchao Sun Ruijie Zheng Xiyao Wang Andrew Cohen Furong Huang OOD OffRL 68 21 0 01 Jan 2022
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsup Kim Younggyo Seo Jinwoo Shin 75 62 0 26 Oct 2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks Menghui Zhu Minghuan Liu Jian Shen Zhicheng Zhang Sheng Chen Weinan Zhang Deheng Ye Yong Yu Qiang Fu Wei Yang 66 22 0 13 May 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu Wenyuan Xu BDL 179 82 0 16 Jan 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 170 193 0 19 Oct 2020
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control Vitaly Kurin Maximilian Igl Tim Rocktaschel Wendelin Boehmer Shimon Whiteson AI4CE 64 91 0 05 Oct 2020
Transfer Learning in Deep Reinforcement Learning: A Survey Zhuangdi Zhu Kaixiang Lin Anil K. Jain Jiayu Zhou OffRL LRM 100 583 0 16 Sep 2020
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang Igor Mordatch Deepak Pathak 94 177 0 09 Jul 2020
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 93 112 0 04 Nov 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 47 73 0 13 Jun 2019
DAC: The Double Actor-Critic Architecture for Learning Options Shangtong Zhang Shimon Whiteson 56 73 0 29 Apr 2019
Universal Successor Features Approximators Diana Borsa André Barreto John Quan D. Mankowitz Rémi Munos H. V. Hasselt David Silver Tom Schaul 77 116 0 18 Dec 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 78 816 0 07 Sep 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 200 1,272 0 30 May 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 94 807 0 21 May 2018
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 224 498 0 08 Apr 2018
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 239 2,322 0 05 Jul 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 102 513 0 17 May 2017
Sensor Fusion for Robot Control through Deep Reinforcement Learning Steven Bohez Tim Verbelen E. D. Coninck B. Vankeirsbilck Pieter Simoens Bart Dhoedt SSL 37 29 0 13 Mar 2017
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning Abhishek Gupta Coline Devin YuXuan Liu Pieter Abbeel Sergey Levine 82 268 0 08 Mar 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 84 904 0 03 Mar 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 95 977 0 17 Nov 2016
Learning and Transfer of Modulated Locomotor Controllers N. Heess Greg Wayne Yuval Tassa Timothy Lillicrap Martin Riedmiller David Silver 65 207 0 17 Oct 2016
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 114 1,479 0 03 Oct 2016
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 60 1,082 0 16 Sep 2016
Successor Features for Transfer in Reinforcement Learning André Barreto Will Dabney Rémi Munos Jonathan J. Hunt Tom Schaul H. V. Hasselt David Silver 45 573 0 16 Jun 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 68 1,134 0 20 Apr 2016