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Hindsight Experience Replay

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 / 1,242 papers shown
Title
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard
  Exploration Environments
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments
Qihao Liu
Yujia Wang
Xiao-Fei Liu
17
8
0
26 Nov 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning
Hardware Conditioned Policies for Multi-Robot Transfer Learning
Tao Chen
Adithyavairavan Murali
Abhinav Gupta
13
100
0
24 Nov 2018
Model Learning for Look-ahead Exploration in Continuous Control
Model Learning for Look-ahead Exploration in Continuous Control
Arpit Agarwal
Katharina Muelling
Katerina Fragkiadaki
6
8
0
20 Nov 2018
Reinforcement Learning of Active Vision for Manipulating Objects under
  Occlusions
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions
Ricson Cheng
Arpit Agarwal
Katerina Fragkiadaki
11
54
0
20 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies
Learning Actionable Representations with Goal-Conditioned Policies
Dibya Ghosh
Abhishek Gupta
Sergey Levine
24
109
0
19 Nov 2018
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
Eric Jang
Coline Devin
Vincent Vanhoucke
Sergey Levine
SSL
13
112
0
16 Nov 2018
Reward learning from human preferences and demonstrations in Atari
Reward learning from human preferences and demonstrations in Atari
Borja Ibarz
Jan Leike
Tobias Pohlen
G. Irving
Shane Legg
Dario Amodei
11
385
0
15 Nov 2018
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Lars Buesing
T. Weber
Yori Zwols
S. Racanière
A. Guez
Jean-Baptiste Lespiau
N. Heess
CML
32
135
0
15 Nov 2018
Meta-Learning for Multi-objective Reinforcement Learning
Meta-Learning for Multi-objective Reinforcement Learning
Xi Chen
Ali Ghadirzadeh
Mårten Björkman
Pablo G. Cámara
OffRL
19
54
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
16
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
SSL
OffRL
30
19
0
16 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLM
OffRL
28
144
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
25
39
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
32
550
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
14
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
11
82
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
25
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
17
15
0
04 Oct 2018
Energy-Based Hindsight Experience Prioritization
Energy-Based Hindsight Experience Prioritization
Rui Zhao
Volker Tresp
11
74
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
17
12
0
02 Oct 2018
Generalization and Regularization in DQN
Generalization and Regularization in DQN
Jesse Farebrother
Marlos C. Machado
Michael Bowling
25
203
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
21
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
19
21
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
27
19
0
17 Sep 2018
Improvements on Hindsight Learning
Improvements on Hindsight Learning
A. Deshpande
Srikanth Sarma
Ashutosh Jha
Balaraman Ravindran
OffRL
13
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
SSL
OffRL
4
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
20
57
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
6
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
14
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
6
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
16
808
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
14
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 P. Sycara
OffRL
6
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
15
30
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
4
29
0
20 Aug 2018
Variational Option Discovery Algorithms
Variational Option Discovery Algorithms
Joshua Achiam
Harrison Edwards
Dario Amodei
Pieter Abbeel
DRL
9
175
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
GAN
DRL
16
179
0
24 Jul 2018
Remember and Forget for Experience Replay
Remember and Forget for Experience Replay
G. Novati
Petros Koumoutsakos
OffRL
19
90
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
15
32
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
20
535
0
12 Jul 2018
Memory Augmented Policy Optimization for Program Synthesis and Semantic
  Parsing
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
Chen Liang
Mohammad Norouzi
Jonathan Berant
Quoc V. Le
Ni Lao
11
134
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 trials
Konstantinos Chatzilygeroudis
Vassilis Vassiliades
F. Stulp
Sylvain Calinon
Jean-Baptiste Mouret
17
155
0
06 Jul 2018
Goal-oriented Trajectories for Efficient Exploration
Goal-oriented Trajectories for Efficient Exploration
Fabio Pardo
Vitaly Levdik
Petar Kormushev
14
2
0
05 Jul 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
A. Laversanne-Finot
Alexandre Péré
Pierre-Yves Oudeyer
DRL
19
87
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
20
181
0
28 Jun 2018
Adversarial Active Exploration for Inverse Dynamics Model Learning
Adversarial Active Exploration for Inverse Dynamics Model Learning
Zhang-Wei Hong
Tsu-jui Fu
Tzu-Yun Shann
Yi-Hsiang Chang
Chun-Yi Lee
11
6
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
14
38
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
20
19
0
25 Jun 2018
Many-Goals Reinforcement Learning
Many-Goals Reinforcement Learning
Vivek Veeriah
Junhyuk Oh
Satinder Singh
KELM
21
53
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
29
355
0
20 Jun 2018
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