OpenAI Gym

5 June 2016

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 119 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 76 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