OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees Kishan Panaganti D. Kalathil 22 4 0 20 Jun 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes Mengdi Xu Wenhao Ding Jiacheng Zhu Zuxin Liu Baiming Chen Ding Zhao CLL OffRL 30 34 0 19 Jun 2020
An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization Anton Dereventsov Clayton Webster Joseph Daws 22 10 0 18 Jun 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 33 3 0 18 Jun 2020
Deep Reinforcement Learning amidst Lifelong Non-Stationarity Annie Xie James Harrison Chelsea Finn CLL OffRL 35 64 0 18 Jun 2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations Alexey Skrynnik A. Staroverov Ermek Aitygulov Kirill Aksenov Vasilii Davydov Aleksandr I. Panov OffRL 23 4 0 17 Jun 2020
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning Eivind Meyer Amalie Heiberg Adil Rasheed Omer San 43 74 0 16 Jun 2020
Model Embedding Model-Based Reinforcement Learning Xiao Tan Chao Qu Junwu Xiong James Y. Zhang OffRL 24 0 0 16 Jun 2020
$Q$ -learning with Logarithmic Regret Kunhe Yang Lin F. Yang S. Du 45 59 0 16 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 27 52 0 16 Jun 2020
Designing high-fidelity multi-qubit gates for semiconductor quantum dots through deep reinforcement learning Sahar Daraeizadeh S. Premaratne A. Matsuura 22 5 0 15 Jun 2020
Reinforcement Learning with Supervision from Noisy Demonstrations Kun-Peng Ning Sheng-Jun Huang 14 7 0 14 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling Russell Mendonca Xinyang Geng Chelsea Finn Sergey Levine OOD OffRL 32 41 0 12 Jun 2020
SAMBA: Safe Model-Based & Active Reinforcement Learning Alexander I. Cowen-Rivers Daniel Palenicek Vincent Moens Mohammed Abdullah Aivar Sootla Jun Wang Haitham Bou-Ammar 23 44 0 12 Jun 2020
Report from the NSF Future Directions Workshop, Toward User-Oriented Agents: Research Directions and Challenges M. Eskénazi Tiancheng Zhao LLMAG AI4TS AI4CE 36 9 0 10 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... M. Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 31 214 0 10 Jun 2020
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges E. Galván P. Mooney 34 129 0 09 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot M. Geist Olivier Pietquin 26 124 0 08 Jun 2020
TrueRMA: Learning Fast and Smooth Robot Trajectories with Recursive Midpoint Adaptations in Cartesian Space Jonas C. Kiemel Pascal Meissner Torsten Kröger 25 6 0 05 Jun 2020
A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines Callum Wilson A. Riccardi E. Minisci 19 4 0 04 Jun 2020
Crowd simulation for crisis management: the outcomes of the last decade George K. Sidiropoulos C. Kiourt Lefteris Moussiades 35 19 0 01 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 65 225 0 01 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 30 50 0 30 May 2020
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 33 10 0 25 May 2020
Novel Policy Seeking with Constrained Optimization Hao Sun Zhenghao Peng Bo Dai Jian Guo Dahua Lin Bolei Zhou 24 13 0 21 May 2020
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks Haotian Liu Wenchuan Wu OffRL 19 95 0 20 May 2020
Mirror Descent Policy Optimization Manan Tomar Lior Shani Yonathan Efroni Mohammad Ghavamzadeh 25 83 0 20 May 2020
Probabilistic Guarantees for Safe Deep Reinforcement Learning E. Bacci David Parker 19 27 0 14 May 2020
Smooth Exploration for Robotic Reinforcement Learning Antonin Raffin Jens Kober F. Stulp 32 57 0 12 May 2020
Delay-Aware Model-Based Reinforcement Learning for Continuous Control Baiming Chen Mengdi Xu Liang-Sheng Li Ding Zhao OffRL 42 63 0 11 May 2020
LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving Guodong Rong B. Shin Hadi Tabatabaee Q. Lu Steve Lemke ... Eric Sterner Keunhae Ushiroda Michael Reyes Dmitry Zelenkovsky Seonman Kim 26 389 0 07 May 2020
Planning from Images with Deep Latent Gaussian Process Dynamics Nathanael Bosch Jan Achterhold Laura Leal-Taixé J. Stückler 25 1 0 07 May 2020
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion Ying-Sheng Luo Jonathan Hans Soeseno Trista Pei-chun Chen Wei-Chao Chen 20 15 0 07 May 2020
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems Anthony Corso Robert J. Moss Mark Koren Ritchie Lee Mykel J. Kochenderfer 21 173 0 06 May 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 352 0 27 Apr 2020
Self-Paced Deep Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen ODL 43 54 0 24 Apr 2020
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning Shangtong Zhang Bo Liu Shimon Whiteson 29 38 0 22 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Huimin Peng VLM OffRL 28 35 0 17 Apr 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 135 1,318 0 15 Apr 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning Michael Everett Bjorn Lutjens Jonathan P. How AAML 20 41 0 11 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 103 1,939 0 11 Apr 2020
Policy Gradient using Weak Derivatives for Reinforcement Learning Sujay Bhatt Alec Koppel Vikram Krishnamurthy 24 12 0 09 Apr 2020
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents Richard Meyes Moritz Schneider Tobias Meisen 28 2 0 07 Apr 2020
Action Space Shaping in Deep Reinforcement Learning Anssi Kanervisto Christian Scheller Ville Hautamaki 27 80 0 02 Apr 2020
A New Challenge: Approaching Tetris Link with AI Matthias Muller-Brockhausen Mike Preuss Aske Plaat 11 2 0 01 Apr 2020
Modeling 3D Shapes by Reinforcement Learning Cheng Lin Tingxiang Fan Wenping Wang Matthias Nießner OffRL 3DV 25 36 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 30 12 0 25 Mar 2020
L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation Mai Nishimura Ryo Yonetani 41 26 0 20 Mar 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Bo Li Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 49 261 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 44 37 0 19 Mar 2020