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Hindsight Experience Replay
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Hindsight Experience Replay"

50 / 1,339 papers shown
Reinforcement Learning of Active Vision for Manipulating Objects under
  Occlusions
Reinforcement Learning of Active Vision for Manipulating Objects under OcclusionsConference on Robot Learning (CoRL), 2018
Ricson Cheng
Arpit Agarwal
Katerina Fragkiadaki
192
58
0
20 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies
Learning Actionable Representations with Goal-Conditioned PoliciesInternational Conference on Learning Representations (ICLR), 2018
Dibya Ghosh
Abhishek Gupta
Sergey Levine
236
112
0
19 Nov 2018
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
Grasp2Vec: Learning Object Representations from Self-Supervised GraspingConference on Robot Learning (CoRL), 2018
Eric Jang
Coline Devin
Vincent Vanhoucke
Sergey Levine
SSL
203
117
0
16 Nov 2018
Reward learning from human preferences and demonstrations in Atari
Reward learning from human preferences and demonstrations in AtariNeural Information Processing Systems (NeurIPS), 2018
Borja Ibarz
Jan Leike
Tobias Pohlen
G. Irving
Shane Legg
Dario Amodei
332
443
0
15 Nov 2018
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy SearchInternational Conference on Learning Representations (ICLR), 2018
Lars Buesing
T. Weber
Yori Zwols
S. Racanière
A. Guez
Jean-Baptiste Lespiau
N. Heess
CML
224
149
0
15 Nov 2018
Meta-Learning for Multi-objective Reinforcement Learning
Meta-Learning for Multi-objective Reinforcement LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2018
Xi Chen
Ali Ghadirzadeh
Mårten Björkman
Pablo G. Cámara
OffRL
145
63
0
08 Nov 2018
Sample-Efficient Learning of Nonprehensile Manipulation Policies via
  Physics-Based Informed State Distributions
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions
Lerrel Pinto
Aditya Mandalika
Brian Hou
S. Srinivasa
98
13
0
24 Oct 2018
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning
  for Robot Navigation
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation
G. Kahn
Adam R. Villaflor
Pieter Abbeel
Sergey Levine
SSLOffRL
140
21
0
16 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
361
143
0
15 Oct 2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement
  Learning
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
Cédric Colas
Pierre Fournier
Olivier Sigaud
Mohamed Chetouani
Pierre-Yves Oudeyer
249
40
0
15 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
301
646
0
12 Oct 2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL
T. Paine
Sergio Gomez Colmenarejo
Ziyun Wang
Scott E. Reed
Y. Aytar
...
Matthew W. Hoffman
Gabriel Barth-Maron
Serkan Cabi
David Budden
Nando de Freitas
OffRL
158
26
0
11 Oct 2018
The Laplacian in RL: Learning Representations with Efficient
  Approximations
The Laplacian in RL: Learning Representations with Efficient Approximations
Yifan Wu
George Tucker
Ofir Nachum
OffRL
136
104
0
10 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional
  Neural Networks
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
Fabio Pardo
Vitaly Levdik
Petar Kormushev
141
4
0
06 Oct 2018
Simulator Predictive Control: Using Learned Task Representations and MPC
  for Zero-Shot Generalization and Sequencing
Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing
Zhanpeng He
Ryan Julian
Eric Heiden
Hejia Zhang
S. Schaal
Joseph J. Lim
Gaurav Sukhatme
Karol Hausman
155
18
0
04 Oct 2018
Energy-Based Hindsight Experience Prioritization
Energy-Based Hindsight Experience Prioritization
Rui Zhao
Volker Tresp
426
77
0
02 Oct 2018
Time Reversal as Self-Supervision
Time Reversal as Self-Supervision
Suraj Nair
Mohammad Babaeizadeh
Chelsea Finn
Sergey Levine
Vikash Kumar
SSL
251
12
0
02 Oct 2018
Generalization and Regularization in DQN
Generalization and Regularization in DQN
Jesse Farebrother
Marlos C. Machado
Michael Bowling
355
221
0
29 Sep 2018
Sim-to-Real Transfer of Robot Learning with Variable Length Inputs
Sim-to-Real Transfer of Robot Learning with Variable Length Inputs
Vibhavari Dasagi
Robert Lee
Serena Mou
Jake Bruce
Niko Sünderhauf
Jurgen Leitner
OffRL
165
3
0
20 Sep 2018
Generalizing Across Multi-Objective Reward Functions in Deep
  Reinforcement Learning
Generalizing Across Multi-Objective Reward Functions in Deep Reinforcement Learning
Eli Friedman
F. Fontaine
OffRL
98
22
0
17 Sep 2018
Curriculum goal masking for continuous deep reinforcement learning
Curriculum goal masking for continuous deep reinforcement learning
Manfred Eppe
S. Magg
S. Wermter
129
19
0
17 Sep 2018
Improvements on Hindsight Learning
Improvements on Hindsight Learning
Ameet Deshpande
Srikanth Sarma
Ashutosh Jha
Balaraman Ravindran
OffRL
132
3
0
16 Sep 2018
Deep Learning with Experience Ranking Convolutional Neural Network for
  Robot Manipulator
Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator
Hai V. Nguyen
Hung M. La
M. Deans
SSLOffRL
86
8
0
16 Sep 2018
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic
  Tasks involving Complex Dynamics
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics
J. Baar
Alan Sullivan
Radu Cordorel
Devesh K. Jha
Diego Romeres
D. Nikovski
344
60
0
13 Sep 2018
Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of
  Robotic Bodyguards
Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of Robotic Bodyguards
Hassam Sheikh
Ladislau Bölöni
147
3
0
12 Sep 2018
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge
Michal Garmulewicz
Henryk Michalewski
Piotr Milos
118
8
0
10 Sep 2018
Learning Adaptive Display Exposure for Real-Time Advertising
Learning Adaptive Display Exposure for Real-Time Advertising
Weixun Wang
Junqi Jin
Jianye Hao
Chunjie Chen
Chuan Yu
...
Xiaotian Hao
Yixi Wang
Han Li
Jian Xu
Kun Gai
164
6
0
10 Sep 2018
Unity: A General Platform for Intelligent Agents
Unity: A General Platform for Intelligent Agents
Arthur Juliani
Vincent-Pierre Berges
Esh Vckay
Andrew Cohen
Jonathan Harper
...
Chris Goy
Yuan Gao
Hunter Henry
Marwan Mattar
Danny Lange
408
907
0
07 Sep 2018
Improving On-policy Learning with Statistical Reward Accumulation
Improving On-policy Learning with Statistical Reward Accumulation
Yubin Deng
K. Yu
Dahua Lin
Xiaoou Tang
Chen Change Loy
OffRL
88
0
0
07 Sep 2018
Challenges of Context and Time in Reinforcement Learning: Introducing
  Space Fortress as a Benchmark
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark
Akshat Agarwal
Ryan Hope
Katia Sycara
OffRL
85
9
0
06 Sep 2018
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience
  Replay
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay
Sameera Lanka
Tianfu Wu
141
32
0
06 Sep 2018
Goal-oriented Dialogue Policy Learning from Failures
Goal-oriented Dialogue Policy Learning from Failures
Keting Lu
Shiqi Zhang
Xiaoping Chen
OffRL
170
31
0
20 Aug 2018
Variational Option Discovery Algorithms
Variational Option Discovery Algorithms
Joshua Achiam
Harrison Edwards
Dario Amodei
Pieter Abbeel
DRL
227
193
0
26 Jul 2018
Learning Plannable Representations with Causal InfoGAN
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach
Aviv Tamar
Ge Yang
Stuart J. Russell
Pieter Abbeel
GANDRL
262
192
0
24 Jul 2018
Remember and Forget for Experience Replay
Remember and Forget for Experience ReplayInternational Conference on Machine Learning (ICML), 2018
G. Novati
Petros Koumoutsakos
OffRL
293
103
0
16 Jul 2018
Hierarchical Reinforcement Learning Framework towards Multi-agent
  Navigation
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation
Wenhao Ding
Shuaijun Li
Huihuan Qian
212
36
0
14 Jul 2018
Visual Reinforcement Learning with Imagined Goals
Visual Reinforcement Learning with Imagined Goals
Ashvin Nair
Vitchyr H. Pong
Murtaza Dalal
Shikhar Bahl
Steven Lin
Sergey Levine
SSL
298
577
0
12 Jul 2018
Memory Augmented Policy Optimization for Program Synthesis and Semantic
  Parsing
Memory Augmented Policy Optimization for Program Synthesis and Semantic ParsingNeural Information Processing Systems (NeurIPS), 2018
Chen Liang
Mohammad Norouzi
Jonathan Berant
Quoc V. Le
Ni Lao
389
138
0
06 Jul 2018
A survey on policy search algorithms for learning robot controllers in a
  handful of trials
A survey on policy search algorithms for learning robot controllers in a handful of trialsIEEE Transactions on robotics (T-RO), 2018
Konstantinos Chatzilygeroudis
Vassilis Vassiliades
F. Stulp
Sylvain Calinon
Jean-Baptiste Mouret
437
168
0
06 Jul 2018
Goal-oriented Trajectories for Efficient Exploration
Goal-oriented Trajectories for Efficient Exploration
Fabio Pardo
Vitaly Levdik
Petar Kormushev
54
2
0
05 Jul 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
Curiosity Driven Exploration of Learned Disentangled Goal SpacesConference on Robot Learning (CoRL), 2018
A. Laversanne-Finot
Alexandre Péré
Pierre-Yves Oudeyer
DRL
209
89
0
04 Jul 2018
Illuminating Generalization in Deep Reinforcement Learning through
  Procedural Level Generation
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation
Niels Justesen
R. Torrado
Philip Bontrager
Ahmed Khalifa
Julian Togelius
S. Risi
492
197
0
28 Jun 2018
Adversarial Active Exploration for Inverse Dynamics Model Learning
Adversarial Active Exploration for Inverse Dynamics Model LearningConference on Robot Learning (CoRL), 2018
Zhang-Wei Hong
Tsu-Jui Fu
Tzu-Yun Shann
Yi-Hsiang Chang
Chun-Yi Lee
122
7
0
26 Jun 2018
Accuracy-based Curriculum Learning in Deep Reinforcement Learning
Accuracy-based Curriculum Learning in Deep Reinforcement Learning
Pierre Fournier
Olivier Sigaud
Mohamed Chetouani
Pierre-Yves Oudeyer
ODL
243
41
0
25 Jun 2018
Multi-objective Model-based Policy Search for Data-efficient Learning
  with Sparse Rewards
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
Rituraj Kaushik
Konstantinos Chatzilygeroudis
Jean-Baptiste Mouret
127
21
0
25 Jun 2018
Many-Goals Reinforcement Learning
Many-Goals Reinforcement Learning
Vivek Veeriah
Junhyuk Oh
Satinder Singh
KELM
157
54
0
22 Jun 2018
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
J. Matas
Stephen James
Andrew J. Davison
AI4CE
305
392
0
20 Jun 2018
Learning 6-DoF Grasping and Pick-Place Using Attention Focus
Learning 6-DoF Grasping and Pick-Place Using Attention Focus
Marcus Gualtieri
Robert Platt
249
61
0
15 Jun 2018
Maximum a Posteriori Policy Optimisation
Maximum a Posteriori Policy Optimisation
A. Abdolmaleki
Jost Tobias Springenberg
Yuval Tassa
Rémi Munos
N. Heess
Martin Riedmiller
202
528
0
14 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning
Unsupervised Meta-Learning for Reinforcement Learning
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSLOffRL
274
110
0
12 Jun 2018
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