OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
Multi-Task Learning with Sequence-Conditioned Transporter Networks M. H. Lim Andy Zeng Brian Ichter Maryam Bandari Erwin Coumans Claire Tomlin S. Schaal Aleksandra Faust 65 15 0 15 Sep 2021
Learning Robot Structure and Motion Embeddings using Graph Neural Networks J. Kim Jeongeun Park Sungjoon Choi Sehoon Ha 39 11 0 15 Sep 2021
DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning Daniel Seita Abhinav Gopal Zhao Mandi John F. Canny OffRL OnRL 47 0 0 15 Sep 2021
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients Brian Plancher Sabrina M. Neuman Radhika Ghosal S. Kuindersma Vijay Janapa Reddi AI4CE PINN 100 16 0 14 Sep 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger Philip Muller Neeratyoy Mallik Matthias Feurer René Sass Aaron Klein Noor H. Awad Marius Lindauer Frank Hutter 243 104 0 14 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 86 103 0 14 Sep 2021
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics Zhaocong Yuan Adam W. Hall Siqi Zhou Lukas Brunke Melissa Greeff Jacopo Panerati Angela P. Schoellig OffRL 166 55 0 13 Sep 2021
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching Hanako Hoshino Keita Ota Asako Kanezaki Rio Yokota OffRL OOD 63 19 0 09 Sep 2021
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning Maziar Gomrokchi Susan Amin Hossein Aboutalebi Alexander Wong Doina Precup MIACV AAML 99 3 0 08 Sep 2021
CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems Li Li Raed Fayad Adrian Taylor 62 42 0 07 Sep 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 91 45 0 07 Sep 2021
Optimal Stroke Learning with Policy Gradient Approach for Robotic Table Tennis Yapeng Gao Jonas Tebbe A. Zell OffRL 96 14 0 07 Sep 2021
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning Yujin Tang David R Ha 110 77 0 07 Sep 2021
ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles A. Piazzoni Jim Cherian Mohamed Azhar Jing Yew Yap James Lee Wei Shung Roshan Vijay 93 20 0 06 Sep 2021
Error Controlled Actor-Critic Xingen Gao Yong Li Changle Zhou Zhen Ge Chih-Min Lin Longzhi Yang Xiang Chang C. Shang 29 3 0 06 Sep 2021
Hindsight Reward Tweaking via Conditional Deep Reinforcement Learning Ning Wei Jiahua Liang Di Xie Shiliang Pu 52 0 0 06 Sep 2021
Supervised DKRC with Images for Offline System Identification Alexander Krolicki P. Lavertu 52 1 0 06 Sep 2021
An Exploration of Deep Learning Methods in Hungry Geese Nikzad Khani Matthew Kluska 27 0 0 05 Sep 2021
Event-Based Communication in Distributed Q-Learning Daniel Jarne Ornia M. Mazo 65 2 0 03 Sep 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing H. Goan Y. Kao 92 87 0 01 Sep 2021
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation Tiantian Zhang Xueqian Wang Bin Liang Bo Yuan OffRL 80 18 0 01 Sep 2021
Phy-Q as a measure for physical reasoning intelligence Cheng Xue Vimukthini Pinto C. Gamage Ekaterina Nikonova Peng Zhang Jochen Renz LRM 77 12 0 31 Aug 2021
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning Jiaqi Xu Bin Li Bo Lu Yunhui Liu Qi Dou Pheng-Ann Heng 156 78 0 30 Aug 2021
Photonic Quantum Policy Learning in OpenAI Gym D. Nagy Zsolt I. Tabi Péter Hága Zsófia Kallus Z. Zimborás 96 8 0 29 Aug 2021
Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents Ammar Fayad M. Ibrahim 62 5 0 28 Aug 2021
Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning Sooyoung Jang Hyungil Kim 55 5 0 24 Aug 2021
Indoor Path Planning for an Unmanned Aerial Vehicle via Curriculum Learning Jongmin Park Soo-beom Jang Y. Shin SSL 52 11 0 23 Aug 2021
CybORG: A Gym for the Development of Autonomous Cyber Agents Maxwell Standen Martin Lucas David Bowman Toby J. Richer Junae Kim Damian A. Marriott 55 79 0 20 Aug 2021
Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay Tianhong Dai Hengyan Liu Kai Arulkumaran Guangyu Ren Anil Anthony Bharath 70 11 0 17 Aug 2021
APReL: A Library for Active Preference-based Reward Learning Algorithms Erdem Biyik Aditi Talati Dorsa Sadigh 68 37 0 16 Aug 2021
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation Yunseok Kwak Won Joon Yun Soyi Jung Jong-Kook Kim Joongheon Kim 69 49 0 16 Aug 2021
A general class of surrogate functions for stable and efficient reinforcement learning Sharan Vaswani Olivier Bachem Simone Totaro Robert Mueller Shivam Garg Matthieu Geist Marlos C. Machado Pablo Samuel Castro Nicolas Le Roux OffRL 94 16 0 12 Aug 2021
Neural Network Repair with Reachability Analysis Xiaodong Yang Tomochika Yamaguchi Hoang-Dung Tran Bardh Hoxha Taylor T. Johnson Danil Prokhorov AAML 62 30 0 09 Aug 2021
Modified Double DQN: addressing stability Shervin Halat M. Ebadzadeh 27 2 0 09 Aug 2021
Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning Pratik Ramprasad Yuantong Li Zhuoran Yang Zhaoran Wang W. Sun Guang Cheng OffRL 140 28 0 08 Aug 2021
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments S. Srivastava Chengshu Li Michael Lingelbach Roberto Martín-Martín Fei Xia ... Chenxi Liu Silvio Savarese H. Gweon Jiajun Wu Li Fei-Fei LM&Ro 251 168 0 06 Aug 2021
Active Reinforcement Learning over MDPs Qi Yang Peng Yang K. Tang 89 0 0 05 Aug 2021
Learning Task Agnostic Skills with Data-driven Guidance E. Klemsdal Sverre Herland Abdulmajid Murad 39 1 0 04 Aug 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 59 9 0 04 Aug 2021
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations Yuping Luo Tengyu Ma OffRL 101 44 0 04 Aug 2021
Offline Decentralized Multi-Agent Reinforcement Learning Jiechuan Jiang Zongqing Lu OffRL 91 39 0 04 Aug 2021
Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks Zachary Ravichandran Lisa Peng Nathan Hughes J. D. Griffith Luca Carlone 130 71 0 02 Aug 2021
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations Tongzhou Mu Z. Ling Fanbo Xiang Derek Yang Xuanlin Li Stone Tao Zhiao Huang Zhiwei Jia Hao Su 158 138 0 30 Jul 2021
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment Jiaming Guo Rui Zhang Xishan Zhang Shaohui Peng Qiaomin Yi Zidong Du Xing Hu Qi Guo Yunji Chen 59 7 0 26 Jul 2021
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? Balázs Kégl Gabriel Hurtado Albert Thomas 76 12 0 24 Jul 2021
MarsExplorer: Exploration of Unknown Terrains via Deep Reinforcement Learning and Procedurally Generated Environments Dimitrios I. Koutras Athanasios Ch. Kapoutsis A. Amanatiadis Elias B. Kosmatopoulos 59 10 0 21 Jul 2021
An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients João Carvalho Davide Tateo Fabio Muratore Jan Peters OffRL 56 7 0 20 Jul 2021
Using reinforcement learning to autonomously identify sources of error for agents in group missions Keishu Utimula Ken-taro Hayaschi Trevor Bihl K. Hongo R. Maezono 43 0 0 20 Jul 2021
Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach B. Varga Balázs Kulcsár M. Chehreghani 79 1 0 19 Jul 2021
High-Accuracy Model-Based Reinforcement Learning, a Survey Aske Plaat W. Kosters Mike Preuss OffRL 75 37 0 17 Jul 2021