PLAS: Latent Action Space for Offline Reinforcement Learning

14 November 2020

Papers citing "PLAS: Latent Action Space for Offline Reinforcement Learning"

50 / 102 papers shown

Title
ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders Zongliang Ji Andre Carlos Kajdacsy-Balla Amaral Anna Goldenberg Rahul G. Krishnan OffRL 44 0 0 24 Apr 2025
Evaluation-Time Policy Switching for Offline Reinforcement Learning Natinael Solomon Neggatu Jeremie Houssineau Giovanni Montana OffRL OnRL 70 0 0 15 Mar 2025
Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction Baiting Luo Ava Pettet Aron Laszka A. Dubey Ayan Mukhopadhyay OffRL 43 1 0 28 Feb 2025
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning Kun Wu Yinuo Zhao Zhihao Xu Zhengping Che Chengxiang Yin C. Liu Qinru Qiu Feiferi Feng OffRL 100 1 0 22 Dec 2024
An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces Alex Beeson David Ireland Giovanni Montana OffRL 43 2 0 17 Nov 2024
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning Marvin Alles Philip Becker-Ehmck Patrick van der Smagt Maximilian Karl OffRL 36 0 0 07 Nov 2024
Investigating the Benefits of Nonlinear Action Maps in Data-Driven Teleoperation Michael Przystupa Gauthier Gidel Matthew E. Taylor Martin Jägersand Justus Piater Samuele Tosatto 19 0 0 28 Oct 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model Jing Zhang Linjiajie Fang Kexin Shi Wenjia Wang Bing-Yi Jing OffRL 36 0 0 27 Oct 2024
DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation Jaehyun Park Yunho Kim Sejin Kim Byung-Jun Lee Sundong Kim OffRL 30 1 0 15 Oct 2024
F1tenth Autonomous Racing With Offline Reinforcement Learning Methods Prajwal Koirala Cody Fleming OffRL 32 1 0 08 Aug 2024
Temporal Abstraction in Reinforcement Learning with Offline Data Ranga Shaarad Ayyagari Anurita Ghosh Ambedkar Dukkipati OffRL 21 0 0 21 Jul 2024
DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems Kaibo He Chenhui Zuo Chengtian Ma Yanan Sui 28 4 0 16 Jul 2024
Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems Gianluigi Silvestri F. V. Massoli Tribhuvanesh Orekondy Afshin Abdi Arash Behboodi 21 0 0 10 Jul 2024
The Shortcomings of Force-from-Motion in Robot Learning Elie Aljalbout Felix Frank Patrick van der Smagt A. Paraschos 23 1 0 03 Jul 2024
Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning Takayuki Osa Tatsuya Harada OffRL 36 2 0 10 Jun 2024
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning Tenglong Liu Yang Li Yixing Lan Hao Gao Wei Pan Xin Xu OffRL 36 5 0 30 May 2024
Multi-objective Cross-task Learning via Goal-conditioned GPT-based Decision Transformers for Surgical Robot Task Automation Jiawei Fu Yonghao Long Kai-xiang Chen Wang Wei Qi Dou MedIm 37 4 0 29 May 2024
Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning Tianle Zhang Jiayi Guan Lin Zhao Yihang Li Dongjiang Li ... Lei Sun Yue Chen Xuelong Wei Lusong Li Xiaodong He 43 1 0 29 May 2024
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation Jinxin Liu Xinghong Guo Zifeng Zhuang Donglin Wang DiffM OffRL 50 2 0 23 May 2024
State-Constrained Offline Reinforcement Learning Charles A. Hepburn Yue Jin Giovanni Montana OffRL 35 0 0 23 May 2024
Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots Joonho Lee Marko Bjelonic Alexander Reske Lorenz Wellhausen Takahiro Miki Marco Hutter 74 39 0 03 May 2024
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning Chenjia Bai Lingxiao Wang Jianye Hao Zhuoran Yang Bin Zhao Zhen Wang Xuelong Li OffRL 34 9 0 30 Apr 2024
TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents Chen Gong Kecen Li Jin Yao Tianhao Wang OnRL 36 0 0 18 Apr 2024
Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay Jinmei Liu Wenbin Li Xiangyu Yue Shilin Zhang Chunlin Chen Zhi Wang OffRL DiffM 36 5 0 16 Apr 2024
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset Dongsu Lee Chanin Eom Minhae Kwon GP OffRL 24 5 0 03 Apr 2024
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective Yunpeng Qing Shunyu Liu Jingyuan Cong Kaixuan Chen Yihe Zhou Mingli Song OffRL 34 1 0 12 Mar 2024
Learning Goal-Conditioned Policies from Sub-Optimal Offline Data via Metric Learning Alfredo Reichlin Miguel Vasco Hang Yin Danica Kragic OffRL 24 0 0 16 Feb 2024
SEABO: A Simple Search-Based Method for Offline Imitation Learning Jiafei Lyu Xiaoteng Ma Le Wan Runze Liu Xiu Li Zongqing Lu OffRL 19 9 0 06 Feb 2024
Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction Haruka Kiyohara Masahiro Nomura Yuta Saito 22 5 0 03 Feb 2024
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis Yafei Hu Quanting Xie Vidhi Jain Jonathan M Francis Jay Patrikar ... Xiaolong Wang Sebastian A. Scherer Z. Kira Fei Xia Yonatan Bisk LM&Ro AI4CE 32 63 0 14 Dec 2023
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer Elie Aljalbout Felix Frank Maximilian Karl Patrick van der Smagt 14 20 0 06 Dec 2023
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models Mianchu Wang Rui Yang Xi Chen Hao Sun Meng Fang Giovanni Montana OffRL 36 9 0 30 Oct 2023
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning Nicholas Corrado Yu-Tao Qu John U. Balis Adam Labiosa Josiah P. Hanna OffRL 35 2 0 27 Oct 2023
Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning Jingyun Yang Max Sobol Mark Brandon Vu Archit Sharma Jeannette Bohg Chelsea Finn OffRL OnRL 29 21 0 23 Oct 2023
Improving Offline-to-Online Reinforcement Learning with Q Conditioned State Entropy Exploration Ziqi Zhang Xiao Xiong Zifeng Zhuang Jinxin Liu Donglin Wang OffRL OnRL 45 0 0 07 Oct 2023
Efficient Planning with Latent Diffusion Wenhao Li DiffM 40 4 0 30 Sep 2023
A Real-World Quadrupedal Locomotion Benchmark for Offline Reinforcement Learning Sidney Besnard Shuyu Yang M. Fadili OffRL 24 2 0 13 Sep 2023
Reasoning with Latent Diffusion in Offline Reinforcement Learning S. Venkatraman Shivesh Khaitan Ravi Tej Akella John M. Dolan Jeff Schneider Glen Berseth OffRL 17 22 0 12 Sep 2023
Contrastive Example-Based Control Kyle Hatch Benjamin Eysenbach Rafael Rafailov Tianhe Yu Ruslan Salakhutdinov Sergey Levine Chelsea Finn OffRL 31 4 0 24 Jul 2023
Offline Reinforcement Learning with Imbalanced Datasets Li Jiang Sijie Cheng Jielin Qiu Haoran Xu Wai Kin Victor Chan Zhao Ding OffRL 34 3 0 06 Jul 2023
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization Jinxin Liu Hongyin Zhang Zifeng Zhuang Yachen Kang Donglin Wang Bin Wang OffRL 42 8 0 26 Jun 2023
Katakomba: Tools and Benchmarks for Data-Driven NetHack Vladislav Kurenkov Alexander Nikulin Denis Tarasov Sergey Kolesnikov OffRL 30 5 0 14 Jun 2023
Improving Offline-to-Online Reinforcement Learning with Q-Ensembles Kai-Wen Zhao Yi Ma Jianye Hao Jinyi Liu Yan Zheng Zhaopeng Meng OffRL OnRL 20 12 0 12 Jun 2023
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL Peng Cheng Xianyuan Zhan Zhihao Wu Wenjia Zhang Shoucheng Song Han Wang Youfang Lin Li Jiang OffRL 40 9 0 07 Jun 2023
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning Linjie Xu Zhengyao Jiang Jinyu Wang Lei Song Jiang Bian OffRL 33 0 0 06 Jun 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation Jianhao Wang Jin Zhang Haozhe Jiang Junyu Zhang Liwei Wang Chongjie Zhang OffRL 26 9 0 31 May 2023
Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning Junjie Zhang Jiafei Lyu Xiaoteng Ma Jiangpeng Yan Jun Yang Le Wan Xiu Li OffRL 11 5 0 10 Apr 2023
Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning Alex Beeson Giovanni Montana OffRL 24 13 0 26 Mar 2023
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey Tongzhou Mu H. Su OffRL 35 1 0 23 Mar 2023
Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning Pengqin Wang Meixin Zhu Shaojie Shen OffRL 25 1 0 07 Mar 2023