Overcoming Exploration in Reinforcement Learning with Demonstrations

28 September 2017

Pieter Abbeel

Papers citing "Overcoming Exploration in Reinforcement Learning with Demonstrations"

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Title
Jump-Start Reinforcement Learning Ikechukwu Uchendu Ted Xiao Yao Lu Banghua Zhu Mengyuan Yan ... Chuyuan Fu Cong Ma Jiantao Jiao Sergey Levine Karol Hausman OffRL OnRL 44 109 0 05 Apr 2022
Learning Personalized Human-Aware Robot Navigation Using Virtual Reality Demonstrations from a User Study Jorge de Heuvel Nathan Corral Lilli Bruckschen Maren Bennewitz 30 14 0 28 Mar 2022
Combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task Vittorio Giammarino Matthew F. Dunne Kylie N. Moore Michael Hasselmo Chantal E. Stern I. Paschalidis OffRL 39 5 0 11 Mar 2022
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates Souradeep Dutta Kaustubh Sridhar Osbert Bastani Yan Sun James Weimer Insup Lee J. Parish-Morris 25 2 0 25 Feb 2022
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL Rui Yang Yiming Lu Wenzhe Li Hao Sun Meng Fang Yali Du Xiu Li Lei Han Chongjie Zhang OffRL 46 67 0 09 Feb 2022
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video Priyanka Mandikal Kristen Grauman 143 93 0 01 Feb 2022
Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments from Temporal Logic Specifications Mingyu Cai Erfan Aasi C. Belta C. Vasile 32 24 0 28 Jan 2022
Learning Task-Parameterized Skills from Few Demonstrations Jihong Zhu Michael Gienger Jens Kober 25 22 0 24 Jan 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 35 132 0 20 Jan 2022
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Trevor Ablett Bryan Chan Jonathan Kelly 31 4 0 16 Dec 2021
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning Zichuan Lin Junyou Li Jianing Shi Deheng Ye Qiang Fu Wei Yang BDL 45 34 0 07 Dec 2021
Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains Junhong Xu Kai-Li Yin Zheng Chen Jason M. Gregory Ethan Stump Lantao Liu 37 2 0 16 Nov 2021
Learning Multi-Stage Tasks with One Demonstration via Self-Replay Norman Di Palo Edward Johns SSL 32 23 0 14 Nov 2021
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale Yao Lu Karol Hausman Yevgen Chebotar Mengyuan Yan Eric Jang ... Ted Xiao A. Irpan Mohi Khansari Dmitry Kalashnikov Sergey Levine OffRL 95 59 0 09 Nov 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment Tung M. Luu Chang D. Yoo 23 8 0 28 Oct 2021
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information Jin Li Xianyuan Zhan Zixu Xiao Guyue Zhou OffRL OnRL 27 2 0 21 Oct 2021
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning Yantian Zha L. Guan Subbarao Kambhampati 26 5 0 11 Oct 2021
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets J. E. Grigsby Yanjun Qi OffRL 29 5 0 10 Oct 2021
Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous Driving Jingda Wu Zhiyu Huang Wenhui Huang Chen Lv 52 74 0 26 Sep 2021
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning Jiaqi Xu Bin Li Bo Lu Yunhui Liu Qi Dou Pheng-Ann Heng 29 74 0 30 Aug 2021
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion Boshen Niu Chenxi Wang Changliu Liu 26 4 0 04 Aug 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans Lirui Wang Xiangyun Meng Yu Xiang Dieter Fox 3DPC DRL 21 27 0 04 Jul 2021
Learning from Demonstration without Demonstrations Tom Blau Gilad Francis Philippe Morere OffRL 19 1 0 17 Jun 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 58 785 0 12 Jun 2021
A Self-Guided Approach for Navigation in a Minimalistic Foraging Robotic Swarm Steven Adams Daniel Jarne Ornia M. Mazo 17 7 0 21 May 2021
Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving Jingda Wu Zhiyu Huang Chao Huang Zhongxu Hu Peng Hang Yang Xing Chen Lv 39 40 0 15 Apr 2021
Self-Imitation Learning by Planning Junhyuk Oh Yijie Guo Satinder Singh SSL 35 86 0 25 Mar 2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL Iretiayo Akinola Zizhao Wang Peter K. Allen 37 2 0 24 Mar 2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study Jianlan Luo Oleg O. Sushkov Rugile Pevceviciute Wenzhao Lian Chang Su Mel Vecerík Ning Ye S. Schaal Jonathan Scholz OffRL 27 60 0 21 Mar 2021
Human-Inspired Multi-Agent Navigation using Knowledge Distillation Pei Xu Ioannis Karamouzas 27 19 0 18 Mar 2021
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks Luca Marzari Ameya Pore Diego DallÁlba G. Aragon-Camarasa Alessandro Farinelli Paolo Fiorini 38 28 0 08 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 16 517 0 04 Feb 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation OpenAI OpenAI Matthias Plappert Raul Sampedro Tao Xu Ilge Akkaya ... Hyeonwoo Noh Lilian Weng Qiming Yuan Casey Chu Wojciech Zaremba SSL 82 76 0 13 Jan 2021
POPO: Pessimistic Offline Policy Optimization Qiang He Xinwen Hou OffRL 35 10 0 26 Dec 2020
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Y. Fu Zhongzhi Yu Yongan Zhang Yingyan Lin 22 4 0 24 Dec 2020
Offline Learning from Demonstrations and Unlabeled Experience Konrad Zolna Alexander Novikov Ksenia Konyushkova Çağlar Gülçehre Ziyun Wang Y. Aytar Misha Denil Nando de Freitas Scott E. Reed SSL OffRL 32 66 0 27 Nov 2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction Karl Schmeckpeper Oleh Rybkin Kostas Daniilidis Sergey Levine Chelsea Finn OffRL 16 105 0 12 Nov 2020
Bimanual Regrasping for Suture Needles using Reinforcement Learning for Rapid Motion Planning Zih-Yun Chiu Florian Richter E. Funk Ryan K. Orosco Michael C. Yip OffRL 15 57 0 09 Nov 2020
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning C. de Souza Rhys Newbury Akansel Cosgun P. Castillo B. Vidolov Dana Kulić 53 90 0 16 Oct 2020
Deep Reinforcement Learning based Local Planner for UAV Obstacle Avoidance using Demonstration Data Lei He Nabil Aouf J. Whidborne Bifeng Song 21 26 0 06 Aug 2020
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer E. Liu Ramtin Keramati Sudarshan Seshadri Kelvin Guu Panupong Pasupat Emma Brunskill Percy Liang OffRL 27 5 0 12 Jul 2020
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review Adam Bignold Francisco Cruz Matthew E. Taylor Tim Brys Richard Dazeley Peter Vamplew Cameron Foale 20 28 0 03 Jul 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving Zhangjie Cao Erdem Biyik Woodrow Z. Wang Allan Raventos Adrien Gaidon Guy Rosman Dorsa Sadigh 34 65 0 01 Jul 2020
Critic Regularized Regression Ziyun Wang Alexander Novikov Konrad Zolna Jost Tobias Springenberg Scott E. Reed ... Noah Y. Siegel J. Merel Çağlar Gülçehre N. Heess Nando de Freitas OffRL 36 319 0 26 Jun 2020
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets Ashvin Nair Abhishek Gupta Murtaza Dalal Sergey Levine OffRL OnRL 46 591 0 16 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 65 225 0 01 Jun 2020
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning Michelle A. Lee Carlos Florensa Jonathan Tremblay Nathan D. Ratliff Animesh Garg Fabio Ramos Dieter Fox 23 60 0 21 May 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 351 0 27 Apr 2020
Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems with Heterogeneous Sensor Data Boyi Liu Lujia Wang Ming Liu Cheng-Zhong Xu FedML 19 67 0 24 Dec 2019
Accelerating Reinforcement Learning with Suboptimal Guidance Eivind Bøhn Signe Moe T. Johansen OnRL 21 0 0 21 Nov 2019