Dual Policy Iteration

28 May 2018

Papers citing "Dual Policy Iteration"

36 / 36 papers shown

Title
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic Stefano Viel Luca Viano V. Cevher 88 0 0 27 Feb 2025
Extremum-Seeking Action Selection for Accelerating Policy Optimization Ya-Chien Chang Sicun Gao 40 0 0 02 Apr 2024
SPO: Sequential Monte Carlo Policy Optimisation Matthew Macfarlane Edan Toledo Donal Byrne Paul Duckworth Alexandre Laterre 30 1 0 12 Feb 2024
Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion over Diverse Terrains Feiyang Wu Xavier Nal Ye Zhao Anqi Wu Zhaoyuan Gu Anqi Wu Ye Zhao 48 0 0 09 Feb 2024
Learning Energy Decompositions for Partial Inference of GFlowNets Hyosoon Jang Minsu Kim Sungsoo Ahn 25 19 0 05 Oct 2023
Tempo Adaptation in Non-stationary Reinforcement Learning Hyunin Lee Yuhao Ding Jongmin Lee Ming Jin Javad Lavaei Somayeh Sojoudi 11 3 0 26 Sep 2023
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization Hai Zhang Hang Yu Junqiao Zhao Di Zhang Chang Huang Hongtu Zhou Xiao Zhang Chen Ye 19 9 0 22 Sep 2023
When to Update Your Model: Constrained Model-based Reinforcement Learning Tianying Ji Yu-Juan Luo Gang Hua Mingxuan Jing Fengxiang He Wen-bing Huang 24 18 0 15 Oct 2022
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning Shen Zhang 20 6 0 16 Sep 2022
Evaluating model-based planning and planner amortization for continuous control Arunkumar Byravan Leonard Hasenclever Piotr Trochim M. Berk Mirza Alessandro Davide Ialongo ... Jost Tobias Springenberg A. Abdolmaleki N. Heess J. Merel Martin Riedmiller 55 17 0 07 Oct 2021
Federated Ensemble Model-based Reinforcement Learning in Edge Computing Jin Wang Jia Hu Jed Mills Geyong Min Ming Xia FedML 20 20 0 12 Sep 2021
Reinforced Imitation Learning by Free Energy Principle Ryoya Ogishima Izumi Karino Y. Kuniyoshi 22 0 0 25 Jul 2021
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration Yuda Song Wen Sun 37 21 0 15 Jul 2021
PEARL: Parallelized Expert-Assisted Reinforcement Learning for Scene Rearrangement Planning Hanqing Wang Zan Wang Wei Liang L. Yu 19 1 0 10 May 2021
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Steven Wu 22 73 0 04 Mar 2021
On the role of planning in model-based deep reinforcement learning Jessica B. Hamrick A. Friesen Feryal M. P. Behbahani A. Guez Fabio Viola Sims Witherspoon Thomas W. Anthony Lars Buesing Petar Velickovic T. Weber OffRL 27 65 0 08 Nov 2020
SEMI: Self-supervised Exploration via Multisensory Incongruity Jianren Wang Ziwen Zhuang Hang Zhao SSL 16 1 0 26 Sep 2020
Bidirectional Model-based Policy Optimization Hang Lai Jian Shen Weinan Zhang Yong Yu 9 57 0 04 Jul 2020
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch Luca Viano Yu-ting Huang Parameswaran Kamalaruban Adrian Weller V. Cevher 52 27 0 02 Jul 2020
Environment Shaping in Reinforcement Learning using State Abstraction Parameswaran Kamalaruban R. Devidze V. Cevher Adish Singla OffRL 11 4 0 23 Jun 2020
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies Tsung-Yen Yang Justinian P. Rosca Karthik Narasimhan Peter J. Ramadge 21 18 0 20 Jun 2020
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time Iddo Drori Anant Kharkar William R. Sickinger Brandon Kates Qiang Ma Suwen Ge Eden Dolev Brenda L Dietrich David P. Williamson Madeleine Udell 16 82 0 06 Jun 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020
A Game Theoretic Framework for Model Based Reinforcement Learning Aravind Rajeswaran Igor Mordatch Vikash Kumar OffRL 14 126 0 16 Apr 2020
Multi-step Greedy Reinforcement Learning Algorithms Manan Tomar Yonathan Efroni Mohammad Ghavamzadeh 23 1 0 07 Oct 2019
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling Yuping Luo Huazhe Xu Tengyu Ma SSL 18 13 0 12 Jul 2019
Imitation-Projected Programmatic Reinforcement Learning A. Verma Hoang Minh Le Yisong Yue Swarat Chaudhuri 24 2 0 11 Jul 2019
On-Policy Robot Imitation Learning from a Converging Supervisor Ashwin Balakrishna Brijen Thananjeyan Jonathan Lee Felix Li Arsh Zahed Joseph E. Gonzalez Ken Goldberg 30 17 0 08 Jul 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 11 927 0 19 Jun 2019
Interactive Teaching Algorithms for Inverse Reinforcement Learning Parameswaran Kamalaruban R. Devidze V. Cevher Adish Singla 11 64 0 28 May 2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics Denis Steckelmacher Hélène Plisnier D. Roijers A. Nowé OffRL 23 17 0 11 Mar 2019
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control Kendall Lowrey Aravind Rajeswaran Sham Kakade G. Haro Igor Mordatch OffRL 22 222 0 05 Nov 2018
Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement Samuel Neumann Sungsu Lim A. Joseph Yangchen Pan Adam White Martha White 22 7 0 22 Oct 2018
Predictor-Corrector Policy Optimization Ching-An Cheng Xinyan Yan Nathan D. Ratliff Byron Boots OnRL 18 23 0 15 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees Yuping Luo Huazhe Xu Yuanzhi Li Yuandong Tian Trevor Darrell Tengyu Ma OffRL 49 223 0 10 Jul 2018