Hindsight Experience Replay

5 July 2017

Pieter Abbeel

Papers citing "Hindsight Experience Replay"

50 / 1,242 papers shown

Title
Universal Policies to Learn Them All Hassam Sheikh Ladislau Bölöni OffRL 11 1 0 24 Aug 2019
Reinforcement Learning in Healthcare: A Survey Chao Yu Jiming Liu S. Nemati LM&MA OffRL 19 549 0 22 Aug 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation Runzhe Yang Xingyuan Sun Karthik Narasimhan 18 247 0 21 Aug 2019
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 18 143 0 19 Aug 2019
Mapping State Space using Landmarks for Universal Goal Reaching Zhiao Huang Fangchen Liu Hao Su 14 66 0 15 Aug 2019
A review on Deep Reinforcement Learning for Fluid Mechanics Paul Garnier J. Viquerat Jean Rabault A. Larcher A. Kuhnle E. Hachem AI4CE 18 253 0 12 Aug 2019
Developing a Simple Model for Sand-Tool Interaction and Autonomously Shaping Sand Wooshik Kim Catherine Pavlov Aaron M. Johnson 9 6 0 07 Aug 2019
Learning to combine primitive skills: A step towards versatile robotic manipulation Robin Strudel Alexander Pashevich Igor Kalevatykh Ivan Laptev Josef Sivic Cordelia Schmid 19 4 0 02 Aug 2019
Hindsight Trust Region Policy Optimization Hanbo Zhang Site Bai Xuguang Lan David Hsu Nanning Zheng 30 8 0 29 Jul 2019
Learning to Solve a Rubik's Cube with a Dexterous Hand Tingguang Li Weitao Xi Meng Fang Jia Xu Max Q.-H. Meng 6 11 0 26 Jul 2019
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards Yijie Guo Jongwook Choi Marcin Moczulski Shengyu Feng Samy Bengio Mohammad Norouzi Honglak Lee 17 10 0 24 Jul 2019
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery Kristian Hartikainen Xinyang Geng Tuomas Haarnoja Sergey Levine SSL 38 74 0 18 Jul 2019
Composing Diverse Policies for Temporally Extended Tasks Daniel Angelov Yordan V. Hristov Michael G. Burke S. Ramamoorthy 14 18 0 18 Jul 2019
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning Johan Ferret Raphaël Marinier M. Geist Olivier Pietquin OffRL 21 6 0 18 Jul 2019
Deep Reinforcement Learning Based Robot Arm Manipulation with Efficient Training Data through Simulation Xiaowei Xing D. Chang 11 6 0 16 Jul 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
DisCoRL: Continual Reinforcement Learning via Policy Distillation Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz Rodríguez David Filliat OffRL 32 60 0 11 Jul 2019
Assessing Transferability from Simulation to Reality for Reinforcement Learning Fabio Muratore Michael Gienger Jan Peters 19 61 0 10 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 33 356 0 06 Jul 2019
Learning a Behavioral Repertoire from Demonstrations Niels Justesen Miguel González Duque Daniel Cabarcas Jaramillo Jean-Baptiste Mouret S. Risi OffRL 14 2 0 05 Jul 2019
Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning Srinivas Venkattaramanujam Eric Crawford T. Doan Doina Precup OffRL SSL 13 24 0 05 Jul 2019
On the Weaknesses of Reinforcement Learning for Neural Machine Translation Leshem Choshen Lior Fox Zohar Aizenbud Omri Abend 13 104 0 03 Jul 2019
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 14 398 0 02 Jul 2019
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog Natasha Jaques Asma Ghandeharioun J. Shen Craig Ferguson Àgata Lapedriza Noah J. Jones S. Gu Rosalind W. Picard OffRL 17 336 0 30 Jun 2019
Compositional Transfer in Hierarchical Reinforcement Learning Markus Wulfmeier A. Abdolmaleki Roland Hafner Jost Tobias Springenberg Michael Neunert Tim Hertweck Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller 19 27 0 26 Jun 2019
Proximal Distilled Evolutionary Reinforcement Learning Cristian Bodnar Ben Day Pietro Lió 30 71 0 24 Jun 2019
Neural networks with motivation Sergey A. Shuvaev Ngoc B. Tran Marcus Stephenson-Jones Bo-wen Li A. Koulakov 9 8 0 23 Jun 2019
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning Ravichandra Addanki S. Venkatakrishnan Shreyan Gupta Hongzi Mao Mohammad Alizadeh OOD OffRL 20 66 0 20 Jun 2019
Experience Replay Optimization Daochen Zha Kwei-Herng Lai Kaixiong Zhou Xia Hu OffRL 9 102 0 19 Jun 2019
Reward Prediction Error as an Exploration Objective in Deep RL Riley Simmons-Edler Ben Eisner Daniel Yang Anthony Bisulco E. Mitchell Sebastian Seung Daniel D. Lee 15 5 0 19 Jun 2019
Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study Cam Linke Nadia M. Ady Martha White T. Degris Adam White 10 16 0 19 Jun 2019
Directed Exploration for Reinforcement Learning Z. Guo Emma Brunskill 16 11 0 18 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning Yiding Jiang S. Gu Kevin Patrick Murphy Chelsea Finn OffRL 18 222 0 18 Jun 2019
LPaintB: Learning to Paint from Self-Supervision Biao Jia Jonathan Brandt R. Měch Byungmoon Kim Tianyi Zhou SSL 11 12 0 17 Jun 2019
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards Gerrit Schoettler Ashvin Nair Jianlan Luo Shikhar Bahl J. A. Ojea Eugen Solowjow Sergey Levine OffRL 18 190 0 13 Jun 2019
Goal-conditioned Imitation Learning Yiming Ding Carlos Florensa Mariano Phielipp Pieter Abbeel 22 219 0 13 Jun 2019
Sub-Goal Trees -- a Framework for Goal-Directed Trajectory Prediction and Optimization Tom Jurgenson E. Groshev Aviv Tamar 14 7 0 12 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 26 284 0 12 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Natalia Díaz Rodríguez David Filliat CLL OffRL 20 44 0 11 Jun 2019
Learning Powerful Policies by Using Consistent Dynamics Model Shagun Sodhani Anirudh Goyal T. Deleu Yoshua Bengio Sergey Levine Jian Tang OffRL 11 5 0 11 Jun 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 29 85 0 10 Jun 2019
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past Che Wang Keith Ross 16 45 0 10 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay John Lanier Stephen Marcus McAleer Pierre Baldi OffRL 8 25 0 09 Jun 2019
An Extensible Interactive Interface for Agent Design Matthew Rahtz James Fang Anca Dragan Dylan Hadfield-Menell 11 1 0 06 Jun 2019
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators F. Ramos Rafael Possas Dieter Fox 6 155 0 04 Jun 2019
Options as responses: Grounding behavioural hierarchies in multi-agent RL A. Vezhnevets Yuhuai Wu Rémi Leblond Joel Z. Leibo AI4CE 18 17 0 04 Jun 2019
Harnessing Reinforcement Learning for Neural Motion Planning Tom Jurgenson Aviv Tamar OOD 9 63 0 01 Jun 2019
Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning Yang Liu Yunan Luo Yuanyi Zhong Xi Chen Qiang Liu Jian-wei Peng 14 35 0 31 May 2019
Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks Brijen Thananjeyan Ashwin Balakrishna Ugo Rosolia Felix Li R. McAllister Joseph E. Gonzalez Sergey Levine Francesco Borrelli Ken Goldberg OffRL 6 4 0 31 May 2019
Towards Finding Longer Proofs Zsolt Zombori Adrián Csiszárik Henryk Michalewski C. Kaliszyk Josef Urban OffRL LRM 29 15 0 30 May 2019