Hindsight Experience Replay

5 July 2017

Pieter Abbeel

Papers citing "Hindsight Experience Replay"

50 / 1,243 papers shown

Title
To Follow or not to Follow: Selective Imitation Learning from Observations Youngwoon Lee E. Hu Zhengyu Yang Joseph J. Lim 22 15 0 16 Dec 2019
Learning to Reach Goals via Iterated Supervised Learning Dibya Ghosh Abhishek Gupta Ashwin Reddy Justin Fu Coline Devin Benjamin Eysenbach Sergey Levine 24 34 0 12 Dec 2019
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning Tianying Wang Hao Zhang Wei Qi Toh Erik Cambria Cheston Tan Yan Wu Yong Liu Wei Jing 14 6 0 11 Dec 2019
How Does an Approximate Model Help in Reinforcement Learning? Fei Feng W. Yin Lin F. Yang 11 5 0 06 Dec 2019
Training Agents using Upside-Down Reinforcement Learning R. Srivastava Pranav Shyam Filipe Wall Mutz Wojciech Ja'skowski Jürgen Schmidhuber OffRL 11 122 0 05 Dec 2019
Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions J. Schmidhuber 6 127 0 05 Dec 2019
Hindsight Credit Assignment Anna Harutyunyan Will Dabney Thomas Mesnard M. G. Azar Bilal Piot ... H. V. Hasselt Greg Wayne Satinder Singh Doina Precup Rémi Munos 11 72 0 05 Dec 2019
Learning from Interventions using Hierarchical Policies for Safe Learning Jing Bi Vikas Dhiman Tianyou Xiao Chenliang Xu OffRL 24 5 0 04 Dec 2019
Distributed Soft Actor-Critic with Multivariate Reward Representation and Knowledge Distillation Dmitry Akimov 11 9 0 29 Nov 2019
Accelerating Reinforcement Learning with Suboptimal Guidance Eivind Bøhn Signe Moe T. Johansen OnRL 19 0 0 21 Nov 2019
Planning with Goal-Conditioned Policies Soroush Nasiriany Vitchyr H. Pong Steven Lin Sergey Levine OffRL 70 215 0 19 Nov 2019
Attention-Privileged Reinforcement Learning Sasha Salter Dushyant Rao Markus Wulfmeier R. Hadsell Ingmar Posner 23 8 0 19 Nov 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks Youngwoon Lee E. Hu Zhengyu Yang Alexander Yin Joseph J. Lim 31 121 0 17 Nov 2019
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data Ajay Mandlekar Fabio Ramos Byron Boots Silvio Savarese Li Fei-Fei Animesh Garg Dieter Fox OffRL 28 117 0 13 Nov 2019
Real-Time Reinforcement Learning Simon Ramstedt C. Pal AI4CE 14 62 0 11 Nov 2019
Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning Nicolas Lair Cédric Colas Rémy Portelas Jean-Michel Dussoux Peter Ford Dominey Pierre-Yves Oudeyer LM&Ro 19 7 0 08 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning Bharathan Balaji S. Mallya Sahika Genc Saurabh Gupta Leo Dirac ... Yunzhe Tao Brian Townsend E. Calleja Sunil Muralidhara Dhanasekar Karuppasamy 16 56 0 05 Nov 2019
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 58 109 0 04 Nov 2019
Dynamic Cloth Manipulation with Deep Reinforcement Learning Rishabh Jangir Guillem Alenyà Carme Torras AI4CE 23 101 0 31 Oct 2019
Object-oriented state editing for HRL V. Bapst Alvaro Sanchez-Gonzalez Omar Shams Kimberly L. Stachenfeld Peter W. Battaglia Satinder Singh Jessica B. Hamrick 15 3 0 31 Oct 2019
Policy Continuation with Hindsight Inverse Dynamics Hao Sun Zhizhong Li Xiaotong Liu Dahua Lin Bolei Zhou 18 38 0 30 Oct 2019
Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order Vladislav Kurenkov Bulat Maksudov Adil Khan 8 1 0 27 Oct 2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning Abhishek Gupta Vikash Kumar Corey Lynch Sergey Levine Karol Hausman 11 420 0 25 Oct 2019
Contextual Imagined Goals for Self-Supervised Robotic Learning Ashvin Nair Shikhar Bahl Alexander Khazatsky Vitchyr H. Pong Glen Berseth Sergey Levine SSL 22 68 0 23 Oct 2019
HIGhER : Improving instruction following with Hindsight Generation for Experience Replay Geoffrey Cideron Mathieu Seurin Florian Strub Olivier Pietquin 24 37 0 21 Oct 2019
Dealing with Sparse Rewards in Reinforcement Learning J. Hare 18 77 0 21 Oct 2019
Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation Yijiong Lin Jiancong Huang Matthieu Zimmer Juan Rojas Paul Weng 6 5 0 19 Oct 2019
Multi-View Reinforcement Learning Minne Li Lisheng Wu Haitham Bou-Ammar Jun Wang 11 26 0 18 Oct 2019
Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation Huazhe Xu Boyuan Chen Yang Gao Trevor Darrell OffRL 10 2 0 17 Oct 2019
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control Lukás Hermann Max Argus Andreas Eitel Artemij Amiranashvili Wolfram Burgard Thomas Brox 16 24 0 17 Oct 2019
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations Ozsel Kilinc Giovanni Montana 17 37 0 16 Oct 2019
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space Muhammad Burhan Hafez C. Weber Matthias Kerzel S. Wermter 14 15 0 10 Oct 2019
Self-Paced Contextual Reinforcement Learning Pascal Klink Hany Abdulsamad Boris Belousov Jan Peters 18 48 0 07 Oct 2019
ViP: Video Platform for PyTorch Madan Ravi Ganesh Eric Hofesmann Nathan Louis Jason J. Corso ViT 17 0 0 07 Oct 2019
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling Che Wang Yanqiu Wu Q. Vuong Keith Ross 16 6 0 05 Oct 2019
If MaxEnt RL is the Answer, What is the Question? Benjamin Eysenbach Sergey Levine 22 58 0 04 Oct 2019
Causal Induction from Visual Observations for Goal Directed Tasks Sunjay Cauligi Yuke Zhu D. Stefan Tamara Rezk CML LRM 13 63 0 03 Oct 2019
Using Logical Specifications of Objectives in Multi-Objective Reinforcement Learning Max Ploner Anand Balakrishnan Sebastian Pohl David Wingate 9 2 0 03 Oct 2019
MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning Haotian Fu Hongyao Tang Jianye Hao Wulong Liu Chong Chen 17 4 0 30 Sep 2019
Automated curricula through setter-solver interactions S. Racanière Andrew Kyle Lampinen Adam Santoro David P. Reichert Vlad Firoiu Timothy Lillicrap 23 53 0 27 Sep 2019
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning Tianyu Li Nathan Lambert Roberto Calandra Franziska Meier Akshara Rai 16 40 0 26 Sep 2019
Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning Yijiong Lin Jiancong Huang Matthieu Zimmer Yisheng Guan Juan Rojas Paul Weng OffRL 13 0 0 24 Sep 2019
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation David Watkins-Valls Jingxi Xu Nicholas R. Waytowich Peter K. Allen SSL 33 15 0 20 Sep 2019
How Much Do Unstated Problem Constraints Limit Deep Robotic Reinforcement Learning? W. Lewis Mark Moll Lydia E. Kavraki OffRL 6 5 0 20 Sep 2019
Learning to Manipulate Object Collections Using Grounded State Representations Matthew Wilson Tucker Hermans SSL 18 26 0 17 Sep 2019
State Representation Learning from Demonstration Astrid Merckling Michael Pearce Loic Cressot Stéphane Doncieux Matthias Poloczek OffRL 11 8 0 15 Sep 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation Suraj Nair Chelsea Finn VGen 31 137 0 12 Sep 2019
Unsupervised Learning and Exploration of Reachable Outcome Space Giuseppe Paolo Alban Laflaquière Alexandre Coninx Stéphane Doncieux 21 36 0 12 Sep 2019
A Deep Learning Approach to Grasping the Invisible Yang Yang Hengyue Liang Changhyun Choi 24 94 0 11 Sep 2019
Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) for learning multi-goal, continuous action and state space controllers Andreas Gerken Michael Spranger 9 8 0 27 Aug 2019