OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
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 22 125 0 19 Mar 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 34 111 0 18 Mar 2020
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss G. Pihlgren Fredrik Sandin Marcus Liwicki 18 3 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 28 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 17 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 34 46 0 11 Mar 2020
Explore and Exploit with Heterotic Line Bundle Models Magdalena Larfors Robin Schneider 41 38 0 10 Mar 2020
Stable Policy Optimization via Off-Policy Divergence Regularization Ahmed Touati Amy Zhang Joelle Pineau Pascal Vincent OffRL 36 17 0 09 Mar 2020
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems Taisuke Kobayashis BDL DRL 22 17 0 04 Mar 2020
Hierarchically Decoupled Imitation for Morphological Transfer D. Hejna Pieter Abbeel Lerrel Pinto LM&Ro 25 41 0 03 Mar 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 24 8 0 27 Feb 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 25 77 0 27 Feb 2020
Policy Evaluation Networks J. Harb Tom Schaul Doina Precup Pierre-Luc Bacon OffRL 20 36 0 26 Feb 2020
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization Aritz D. Martinez E. Osaba Javier Del Ser Francisco Herrera 22 10 0 25 Feb 2020
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration Hoang Trung-Dung Yitao Liang Guy Van den Broeck OffRL 22 3 0 25 Feb 2020
Informative Path Planning for Mobile Sensing with Reinforcement Learning Yongyong Wei Rong Zheng 26 34 0 18 Feb 2020
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning Yannick Schroecker Charles Isbell OffRL 36 12 0 15 Feb 2020
PDDLGym: Gym Environments from PDDL Problems Tom Silver Rohan Chitnis AI4CE 25 56 0 15 Feb 2020
Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot M. Hwang Daniel Seita Brijen Thananjeyan Jeffrey Ichnowski Samuel Paradis Danyal Fer Thomas Low Ken Goldberg 8 31 0 15 Feb 2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics Parameswaran Kamalaruban Yu-ting Huang Ya-Ping Hsieh Paul Rolland C. Shi V. Cevher 31 60 0 14 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning Sammy Christen Lukás Jendele Emre Aksan Otmar Hilliges OffRL 30 25 0 14 Feb 2020
XCS Classifier System with Experience Replay Anthony Stein Roland Maier Lukas Rosenbauer J. Hähner BDL 28 21 0 13 Feb 2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon Santiago Gonzalez B. Hodjat Elliot Meyerson Risto Miikkulainen Xin Qiu H. Shahrzad 26 16 0 13 Feb 2020
Representation of Reinforcement Learning Policies in Reproducing Kernel Hilbert Spaces Bogdan Mazoure T. Doan Tianyu Li V. Makarenkov Joelle Pineau Doina Precup Guillaume Rabusseau OffRL 21 1 0 07 Feb 2020
Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP) Zhimin Hou Kuangen Zhang Yi Wan Dongyu Li Chenglong Fu Haoyong Yu 27 15 0 07 Feb 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 32 49 0 07 Feb 2020
Effective Diversity in Population Based Reinforcement Learning Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts 22 158 0 03 Feb 2020
Evolving Neural Networks through a Reverse Encoding Tree Haoling Zhang Chao-Han Huck Yang Hector Zenil N. Kiani Yue-Hong Shen Jesper N. Tegnér 19 5 0 03 Feb 2020
An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions Samuele Tosatto R. Akrour Jan Peters 15 4 0 29 Jan 2020
Rotation, Translation, and Cropping for Zero-Shot Generalization Chang Ye Ahmed Khalifa Philip Bontrager Julian Togelius 32 38 0 27 Jan 2020
PCGRL: Procedural Content Generation via Reinforcement Learning Ahmed Khalifa Philip Bontrager Sam Earle Julian Togelius 21 143 0 24 Jan 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning Dor Livne Kobi Cohen 34 50 0 14 Jan 2020
Improving Image Autoencoder Embeddings with Perceptual Loss G. Pihlgren Fredrik Sandin Marcus Liwicki 25 33 0 10 Jan 2020
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors Jingliang Duan Yang Guan Shengbo Eben Li Yangang Ren B. Cheng OffRL 25 174 0 09 Jan 2020
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation Letian Chen Rohan R. Paleja Muyleng Ghuy Matthew C. Gombolay 30 38 0 02 Jan 2020
Model Inversion Networks for Model-Based Optimization Aviral Kumar Sergey Levine OffRL 38 93 0 31 Dec 2019
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning Andreas Sedlmeier Thomas Gabor Thomy Phan Lenz Belzner Claudia Linnhoff-Popien 21 25 0 31 Dec 2019
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 43 188 0 23 Dec 2019
Monte-Carlo Tree Search for Policy Optimization Xiaobai Ma Katherine Driggs-Campbell Zongzhang Zhang Mykel J. Kochenderfer 20 6 0 23 Dec 2019
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning Eivind Meyer Haakon Robinson Adil Rasheed Omer San 33 65 0 18 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 46 1,799 0 13 Dec 2019
Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning Shuai Lu Shuai Han Wenbo Zhou Junwei Zhang 29 26 0 13 Dec 2019
Adversarial recovery of agent rewards from latent spaces of the limit order book Jacobo Roa-Vicens Yuanbo Wang Virgile Mison Y. Gal Ricardo M. A. Silva 23 3 0 09 Dec 2019
Adaptive Online Planning for Continual Lifelong Learning Kevin Lu Igor Mordatch Pieter Abbeel OffRL OnRL CLL 11 15 0 03 Dec 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks Youngwoon Lee E. Hu Zhengyu Yang Alexander Yin Joseph J. Lim 36 122 0 17 Nov 2019
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning Cameron Voloshin Hoang Minh Le Nan Jiang Yisong Yue OffRL 30 152 0 15 Nov 2019
Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy Optimization Eivind Bøhn E. M. Coates Signe Moe T. Johansen 25 129 0 13 Nov 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning Praveen Palanisamy 45 142 0 11 Nov 2019
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning Matthew Benatan Edward O. Pyzer-Knapp BDL 24 6 0 08 Nov 2019
Experience Sharing Between Cooperative Reinforcement Learning Agents Lucas O. Souza G. Ramos C. Ralha 27 9 0 06 Nov 2019