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1707.01495
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Hindsight Experience Replay
5 July 2017
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
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Papers citing
"Hindsight Experience Replay"
50 / 1,340 papers shown
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Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
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J. A. G. Higuera
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David Meger
Gregory Dudek
173
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29 Jun 2020
Experience Replay with Likelihood-free Importance Weights
Conference on Learning for Dynamics & Control (L4DC), 2020
Samarth Sinha
Jiaming Song
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Stefano Ermon
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208
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The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning
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R. Gorbet
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149
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Roberta Raileanu
Heinrich Küttler
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Edward Grefenstette
285
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22 Jun 2020
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19 Jun 2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations
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A. Staroverov
Ermek Aitygulov
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161
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Automatic Curriculum Learning through Value Disagreement
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Lerrel Pinto
192
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197
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16 Jun 2020
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Yunhao Tang
A. Kucukelbir
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188
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13 Jun 2020
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Cédric Colas
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12 Jun 2020
Continuous Action Reinforcement Learning from a Mixture of Interpretable Experts
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
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Davide Tateo
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202
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Henry Charlesworth
Giovanni Montana
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01 Jun 2020
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Florian Shkurti
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Yining Chen
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201
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P. Sermanet
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326
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15 May 2020
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171
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89
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191
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Adaptive Dialog Policy Learning with Hindsight and User Modeling
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Keting Lu
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247
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Robotic Arm Control and Task Training through Deep Reinforcement Learning
Annual Meeting of the IEEE Industry Applications Society (IEEE IAS Annual Meeting), 2020
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E. Tosello
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Stefano Ghidoni
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Generalized Planning With Deep Reinforcement Learning
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Tamir Hazan
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166
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Reinforcement Learning with Augmented Data
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Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
International Conference on Learning Representations (ICLR), 2020
Ilya Kostrikov
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First return, then explore
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Bo Dai
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178
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Self-Paced Deep Reinforcement Learning
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Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
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Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion
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111
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Reinforcement Learning in a Physics-Inspired Semi-Markov Environment
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Rory Coles
Mark Crowley
Isaac Tamblyn
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Learning visual policies for building 3D shape categories
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Igor Kalevatykh
Ivan Laptev
Cordelia Schmid
170
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Self Punishment and Reward Backfill for Deep Q-Learning
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
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Rui Wang
M. Ziaei
134
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Weakly-Supervised Reinforcement Learning for Controllable Behavior
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Benjamin Eysenbach
Ruslan Salakhutdinov
S. Gu
Chelsea Finn
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When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
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Yang Tang
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Simon Lucas
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Ajay Jain
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Thanard Kurutach
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Deepak Pathak
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Matteo Leonetti
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