Hindsight Experience Replay

5 July 2017

Pieter Abbeel

Papers citing "Hindsight Experience Replay"

50 / 1,245 papers shown

Title
Learning Compositional Neural Programs for Continuous Control Thomas Pierrot Nicolas Perrin Feryal M. P. Behbahani Alexandre Laterre Olivier Sigaud Karim Beguir Nando de Freitas CLL 46 4 0 27 Jul 2020
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation Fei Mi Xiao Lin Boi Faltings CLL 26 52 0 23 Jul 2020
Understanding and Mitigating the Limitations of Prioritized Experience Replay Yangchen Pan Jincheng Mei Amir-massoud Farahmand Martha White Hengshuai Yao Mohsen Rohani Jun Luo 24 11 0 19 Jul 2020
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators Yasuhiro Fujita Kota Uenishi Avinash Ummadisingu P. Nagarajan Shimpei Masuda M. Castro 32 18 0 16 Jul 2020
Goal-Aware Prediction: Learning to Model What Matters Suraj Nair Silvio Savarese Chelsea Finn 36 64 0 14 Jul 2020
A Provably Efficient Sample Collection Strategy for Reinforcement Learning Jean Tarbouriech Matteo Pirotta Michal Valko A. Lazaric OffRL 25 16 0 13 Jul 2020
Implicit Distributional Reinforcement Learning Yuguang Yue Zhendong Wang Mingyuan Zhou OffRL 23 16 0 13 Jul 2020
Double Prioritized State Recycled Experience Replay Fanchen Bu D. Chang OffRL 13 11 0 08 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 26 87 0 06 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 29 22 0 01 Jul 2020
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles Travis Manderson J. A. G. Higuera Stefan Wapnick J. Tremblay Florian Shkurti David Meger Gregory Dudek 19 50 0 29 Jun 2020
Experience Replay with Likelihood-free Importance Weights Samarth Sinha Jiaming Song Animesh Garg Stefano Ermon OffRL 33 55 0 23 Jun 2020
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning Lingheng Meng R. Gorbet Dana Kulic OffRL 30 27 0 23 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 38 125 0 22 Jun 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 30 82 0 20 Jun 2020
NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration Shuai Han Wenbo Zhou Jing Liu Shuai Lu 21 27 0 19 Jun 2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations Alexey Skrynnik A. Staroverov Ermek Aitygulov Kirill Aksenov Vasilii Davydov Aleksandr I. Panov OffRL 23 4 0 17 Jun 2020
Automatic Curriculum Learning through Value Disagreement Yunzhi Zhang Pieter Abbeel Lerrel Pinto 35 103 0 17 Jun 2020
Task-agnostic Exploration in Reinforcement Learning Xuezhou Zhang Yuzhe Ma Adish Singla OffRL 31 49 0 16 Jun 2020
Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration Xiang Gao J. Si Yue Wen Minhan Li He H. Huang 13 31 0 16 Jun 2020
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms Guy Bresler Prateek Jain Dheeraj M. Nagaraj Praneeth Netrapalli Xian Wu 33 61 0 16 Jun 2020
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning Yunhao Tang A. Kucukelbir OffRL 27 16 0 13 Jun 2020
Grounding Language to Autonomously-Acquired Skills via Goal Generation Ahmed Akakzia Cédric Colas Pierre-Yves Oudeyer Mohamed Chetouani Olivier Sigaud LM&Ro 21 3 0 12 Jun 2020
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL Cédric Colas Ahmed Akakzia Pierre-Yves Oudeyer Mohamed Chetouani Olivier Sigaud LM&Ro 34 17 0 12 Jun 2020
Continuous Action Reinforcement Learning from a Mixture of Interpretable Experts R. Akrour Davide Tateo Jan Peters 28 21 0 10 Jun 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals Henry Charlesworth Giovanni Montana OffRL 29 24 0 01 Jun 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 29 1 0 21 May 2020
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning Zhenhui Ye Yining Chen Guang-hua Song Bowei Yang Sheng Fan OffRL 28 7 0 19 May 2020
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 40 243 0 15 May 2020
Simple Sensor Intentions for Exploration Tim Hertweck Martin Riedmiller Michael Bloesch Jost Tobias Springenberg Noah Y. Siegel Markus Wulfmeier Roland Hafner N. Heess 25 10 0 15 May 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 33 399 0 12 May 2020
TOMA: Topological Map Abstraction for Reinforcement Learning Zhao-Heng Yin Wu-Jun Li 22 2 0 11 May 2020
Curious Hierarchical Actor-Critic Reinforcement Learning Frank Röder Manfred Eppe Phuong D. H. Nguyen S. Wermter 14 21 0 07 May 2020
Adaptive Dialog Policy Learning with Hindsight and User Modeling Yan Cao Keting Lu Xiaoping Chen Shiqi Zhang 24 11 0 07 May 2020
Robotic Arm Control and Task Training through Deep Reinforcement Learning Andrea Franceschetti E. Tosello Nicola Castaman Stefano Ghidoni 12 32 0 06 May 2020
Generalized Planning With Deep Reinforcement Learning Or Rivlin Tamir Hazan E. Karpas OffRL 10 48 0 05 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 20 648 0 30 Apr 2020
Improving Target-driven Visual Navigation with Attention on 3D Spatial Relationships Yunlian Lv Ning Xie Yimin Shi Zijiao Wang H. Shen 27 0 0 29 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 45 774 0 28 Apr 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 352 0 27 Apr 2020
Evolutionary Stochastic Policy Distillation Hao Sun Xinyu Pan Bo Dai Dahua Lin Bolei Zhou 27 1 0 27 Apr 2020
Self-Paced Deep Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen ODL 43 54 0 24 Apr 2020
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning Giambattista Parascandolo Lars Buesing J. Merel Leonard Hasenclever John Aslanides Jessica B. Hamrick N. Heess Alexander Neitz T. Weber 8 30 0 23 Apr 2020
Flexible and Efficient Long-Range Planning Through Curious Exploration Aidan Curtis Minjian Xin Dilip Arumugam Kevin T. Feigelis Daniel L. K. Yamins 15 6 0 22 Apr 2020
AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning Keting Lu Shiqi Zhang Xiaoping Chen OffRL OnRL 6 3 0 22 Apr 2020
Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion Aditi Mavalankar OffRL 35 7 0 17 Apr 2020
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment C. Bellinger Rory Coles Mark Crowley Isaac Tamblyn OOD 16 2 0 15 Apr 2020
Learning visual policies for building 3D shape categories Alexander Pashevich Igor Kalevatykh Ivan Laptev Cordelia Schmid 14 3 0 15 Apr 2020
Self Punishment and Reward Backfill for Deep Q-Learning M. Bonyadi Rui Wang M. Ziaei 14 4 0 10 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 22 26 0 06 Apr 2020