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1606.01540
Cited By
OpenAI Gym
5 June 2016
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
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Papers citing
"OpenAI Gym"
50 / 2,578 papers shown
Title
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLM
OffRL
121
35
0
17 Apr 2020
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library
Dmitry Kazhdan
Z. Shams
Pietro Lio
54
17
0
16 Apr 2020
A Game Theoretic Framework for Model Based Reinforcement Learning
Aravind Rajeswaran
Igor Mordatch
Vikash Kumar
OffRL
58
128
0
16 Apr 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Justin Fu
Aviral Kumar
Ofir Nachum
George Tucker
Sergey Levine
GP
OffRL
247
1,386
0
15 Apr 2020
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
Ted Xiao
Eric Jang
Dmitry Kalashnikov
Sergey Levine
Julian Ibarz
Karol Hausman
Alexander Herzog
119
39
0
13 Apr 2020
K-spin Hamiltonian for quantum-resolvable Markov decision processes
E. Jones
P. Graf
E. Kapit
Wesley B. Jones
11
2
0
13 Apr 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning
Michael Everett
Bjorn Lutjens
Jonathan P. How
AAML
53
42
0
11 Apr 2020
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
418
2,004
0
11 Apr 2020
Policy Gradient using Weak Derivatives for Reinforcement Learning
Sujay Bhatt
Alec Koppel
Vikram Krishnamurthy
71
12
0
09 Apr 2020
Solving the scalarization issues of Advantage-based Reinforcement Learning Algorithms
Federico A. Galatolo
M. G. Cimino
G. Vaglini
51
3
0
08 Apr 2020
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
Richard Meyes
Moritz Schneider
Tobias Meisen
55
2
0
07 Apr 2020
Action Space Shaping in Deep Reinforcement Learning
Anssi Kanervisto
Christian Scheller
Ville Hautamaki
80
84
0
02 Apr 2020
A New Challenge: Approaching Tetris Link with AI
Matthias Muller-Brockhausen
Mike Preuss
Aske Plaat
21
2
0
01 Apr 2020
Obstacle Avoidance and Navigation Utilizing Reinforcement Learning with Reward Shaping
Dan-xu Zhang
Colleen P. Bailey
79
12
0
28 Mar 2020
Modeling 3D Shapes by Reinforcement Learning
Cheng Lin
Tingxiang Fan
Wenping Wang
Matthias Nießner
OffRL
3DV
68
37
0
27 Mar 2020
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods
Jiale Zhi
Rui Wang
Jeff Clune
Kenneth O. Stanley
OffRL
72
12
0
25 Mar 2020
Distributional Reinforcement Learning with Ensembles
Björn Lindenberg
Jonas Nordqvist
Karl-Olof Lindahl
OOD
38
3
0
24 Mar 2020
Neural Game Engine: Accurate learning of generalizable forward models from pixels
Chris Bamford
Simon Lucas
OCL
37
13
0
23 Mar 2020
FlapAI Bird: Training an Agent to Play Flappy Bird Using Reinforcement Learning Techniques
Tai Vu
Leon Tran
VLM
OnRL
16
10
0
21 Mar 2020
Deep Reinforcement Learning with Robust and Smooth Policy
Qianli Shen
Yuante Li
Haoming Jiang
Zhaoran Wang
T. Zhao
OOD
84
5
0
21 Mar 2020
L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation
Mai Nishimura
Ryo Yonetani
86
27
0
20 Mar 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Huan Zhang
Hongge Chen
Chaowei Xiao
Yue Liu
Mingyan D. Liu
Duane S. Boning
Cho-Jui Hsieh
AAML
176
276
0
19 Mar 2020
Learning to Fly via Deep Model-Based Reinforcement Learning
Philip Becker-Ehmck
Maximilian Karl
Jan Peters
Patrick van der Smagt
SSL
132
37
0
19 Mar 2020
Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives
Oliver Groth
Chia-Man Hung
Andrea Vedaldi
Ingmar Posner
OCL
80
10
0
19 Mar 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
Rui Wang
Joel Lehman
Aditya Rawal
Jiale Zhi
Yulun Li
Jeff Clune
Kenneth O. Stanley
104
129
0
19 Mar 2020
Neuroevolution of Self-Interpretable Agents
Yujin Tang
Duong Nguyen
David R Ha
127
113
0
18 Mar 2020
Giving Up Control: Neurons as Reinforcement Learning Agents
J. Ott
78
6
0
17 Mar 2020
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss
G. Pihlgren
Fredrik Sandin
Marcus Liwicki
73
3
0
16 Mar 2020
Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks
Sina Ghiassian
Banafsheh Rafiee
Y. Lo
Adam White
61
31
0
16 Mar 2020
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning
Wenjie Shi
Gao Huang
Shiji Song
Zhuoyuan Wang
Tingyu Lin
Cheng Wu
SSL
88
18
0
16 Mar 2020
The Chef's Hat Simulation Environment for Reinforcement-Learning-Based Agents
Pablo V. A. Barros
Anne C. Bloem
Inge M. Hootsmans
Lena M. Opheij
Romain H. A. Toebosch
E. Barakova
A. Sciutti
60
9
0
12 Mar 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Wei Zhou
Yiying Li
Yongxin Yang
Huaimin Wang
Timothy M. Hospedales
OffRL
72
48
0
11 Mar 2020
Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning
Stephanie Milani
Nicholay Topin
Brandon Houghton
William H. Guss
Sharada Mohanty
Keisuke Nakata
Oriol Vinyals
N. Kuno
OffRL
156
27
0
10 Mar 2020
Explore and Exploit with Heterotic Line Bundle Models
Magdalena Larfors
Robin Schneider
78
38
0
10 Mar 2020
Advancing Renewable Electricity Consumption With Reinforcement Learning
Filip Tolovski
31
1
0
09 Mar 2020
Stable Policy Optimization via Off-Policy Divergence Regularization
Ahmed Touati
Amy Zhang
Joelle Pineau
Pascal Vincent
OffRL
117
17
0
09 Mar 2020
Deep Adversarial Reinforcement Learning for Object Disentangling
Melvin Laux
Oleg Arenz
Jan Peters
Joni Pajarinen
DRL
48
3
0
08 Mar 2020
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems
Taisuke Kobayashis
BDL
DRL
91
18
0
04 Mar 2020
Hierarchically Decoupled Imitation for Morphological Transfer
D. Hejna
Pieter Abbeel
Lerrel Pinto
LM&Ro
77
43
0
03 Mar 2020
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions
Brijen Thananjeyan
Ashwin Balakrishna
Ugo Rosolia
Joseph E. Gonzalez
Aaron D. Ames
Ken Goldberg
74
13
0
03 Mar 2020
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning
William Agnew
Pedro M. Domingos
OffRL
95
3
0
03 Mar 2020
Gaussian Process Policy Optimization
Anand Srinivasa Rao
Bidipta Sarkar
Tejas Narayanan
GP
21
0
0
02 Mar 2020
PPMC RL Training Algorithm: Rough Terrain Intelligent Robots through Reinforcement Learning
Tamir Blum
Kazuya Yoshida
39
7
0
02 Mar 2020
Contextual Policy Transfer in Reinforcement Learning Domains via Deep Mixtures-of-Experts
Michael Gimelfarb
Scott Sanner
Chi-Guhn Lee
42
1
0
29 Feb 2020
Efficiently Guiding Imitation Learning Agents with Human Gaze
Akanksha Saran
Ruohan Zhang
Elaine Schaertl Short
S. Niekum
77
16
0
28 Feb 2020
Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control
Ke Lin
Liang Gong
Xudong Li
Te Sun
Binhao Chen
Chengliang Liu
Zhengfeng Zhang
Jian Pu
Junping Zhang
36
8
0
27 Feb 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
Elise van der Pol
Thomas Kipf
F. Oliehoek
Max Welling
76
80
0
27 Feb 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework
Ngoc Duy Nguyen
Thanh Thi Nguyen
Hai V. Nguyen
Doug Creighton
S. Nahavandi
166
4
0
27 Feb 2020
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning
Ngoc Duy Nguyen
Thanh Thi Nguyen
Doug Creighton
S. Nahavandi
44
5
0
27 Feb 2020
Policy Evaluation Networks
J. Harb
Tom Schaul
Doina Precup
Pierre-Luc Bacon
OffRL
60
37
0
26 Feb 2020
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