OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
gym-saturation: Gymnasium environments for saturation provers (System description) Boris Shminke 44 1 0 16 Sep 2023
DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning Xiao-Yin Liu Xiao-Hu Zhou Xiaoliang Xie Shiqi Liu Zhen-Qiu Feng Hao Li Mei-Jiang Gui Tian-Yu Xiang De-Xing Huang Zeng-Guang Hou OffRL OOD 24 5 0 16 Sep 2023
Deep Multi-Agent Reinforcement Learning for Decentralized Active Hypothesis Testing Hadar Szostak Kobi Cohen 38 3 0 14 Sep 2023
Stable In-hand Manipulation with Finger Specific Multi-agent Shadow Reward Lingfeng Tao Jiucai Zhang Xiaoli Zhang 26 0 0 13 Sep 2023
Investigating the Impact of Action Representations in Policy Gradient Algorithms Jan Schneider-Barnes Pierre Schumacher Daniel Haeufle Bernhard Scholkopf Le Chen OffRL 24 1 0 13 Sep 2023
Attention Loss Adjusted Prioritized Experience Replay Zhuoying Chen Huiping Li Rizhong Wang 19 2 0 13 Sep 2023
Fitness Approximation through Machine Learning Itai Tzruia Tomer Halperin Moshe Sipper Achiya Elyasaf 28 2 0 06 Sep 2023
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning L. Du Min Chen Mingyang Sun Shouling Ji Peng Cheng Jiming Chen Zhikun Zhang OffRL 53 8 0 06 Sep 2023
Representation Learning for Sequential Volumetric Design Tasks Md Ferdous Alam Yi Wang Linh Tran Chin-Yi Cheng Jieliang Luo 3DV 34 2 0 05 Sep 2023
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 47 10 0 05 Sep 2023
Marginalized Importance Sampling for Off-Environment Policy Evaluation Pulkit Katdare Nan Jiang Katherine Driggs-Campbell OffRL 30 4 0 04 Sep 2023
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning Qisen Yang Huanqian Wang Mukun Tong Wenjie Shi Gao Huang Shiji Song 40 5 0 04 Sep 2023
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance Qisen Yang Shenzhi Wang Qihang Zhang Gao Huang Shiji Song OffRL OnRL 32 8 0 04 Sep 2023
Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization Uri Gadot E. Derman Navdeep Kumar Maxence Mohamed Elfatihi Kfir Y. Levy Shie Mannor 38 5 0 03 Sep 2023
Neurosymbolic Reinforcement Learning and Planning: A Survey Kamal Acharya Waleed Raza Carlos Dourado Alvaro Velasquez Houbing Song NAI OffRL 37 16 0 02 Sep 2023
Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles Yuhang Yang Kalle Kujanpää Amin Babadi Joni Pajarinen Alexander Ilin 27 3 0 01 Sep 2023
The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning M. Rigaki Sebastian Garcia AAML 30 4 0 31 Aug 2023
DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous Driving Yinda Xu Lidong Yu 9 6 0 30 Aug 2023
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics Zexin Li Aritra Samanta Yufei Li Andrea Soltoggio Hyoseung Kim Cong Liu 39 6 0 29 Aug 2023
Target-independent XLA optimization using Reinforcement Learning Milan Ganai Haichen Li Theodore Enns Yida Wang Randy Huang 44 0 0 28 Aug 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 53 10 0 28 Aug 2023
Distributionally Robust Statistical Verification with Imprecise Neural Networks Souradeep Dutta Michele Caprio Vivian Lin Matthew Cleaveland Kuk Jin Jang I. Ruchkin O. Sokolsky Insup Lee OOD AAML 54 7 0 28 Aug 2023
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators Lucas Berry David Meger UD 30 2 0 25 Aug 2023
Conditional Kernel Imitation Learning for Continuous State Environments Rishabh Agrawal Nathan Dahlin Rahul Jain A. Nayyar 32 0 0 24 Aug 2023
An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems Ahmed Haj Yahmed Rached Bouchoucha Houssem Ben Braiek Foutse Khomh CLL AI4CE 36 0 0 23 Aug 2023
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges Ahmed Haj Yahmed Altaf Allah Abbassi Amin Nikanjam Heng Li Foutse Khomh OffRL 39 5 0 23 Aug 2023
How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy Zhenjiang Mao Carson Sobolewski I. Ruchkin 37 8 0 23 Aug 2023
DFWLayer: Differentiable Frank-Wolfe Optimization Layer Zixuan Liu Liu Liu Xueqian Wang P. Zhao AI4CE 29 0 0 21 Aug 2023
Soft Decomposed Policy-Critic: Bridging the Gap for Effective Continuous Control with Discrete RL Ye Zhang Jian Sun G. Wang Zhuoxian Li Wei Chen OffRL 34 0 0 20 Aug 2023
Safety Filter Design for Neural Network Systems via Convex Optimization Shaoru Chen K. Y. Chee Nikolai Matni M. A. Hsieh George J. Pappas 41 3 0 16 Aug 2023
Formally-Sharp DAgger for MCTS: Lower-Latency Monte Carlo Tree Search using Data Aggregation with Formal Methods Debraj Chakraborty Damien Busatto-Gaston Jean-François Raskin G. Pérez 13 1 0 15 Aug 2023
Adaptive Tracking of a Single-Rigid-Body Character in Various Environments Tae-Joung Kwon Taehong Gu Jaewon Ahn Yoonsang Lee 41 3 0 14 Aug 2023
Learning Control Policies for Variable Objectives from Offline Data Marc Weber Phillip Swazinna D. Hein Steffen Udluft V. Sterzing OffRL 29 8 0 11 Aug 2023
Generalized Early Stopping in Evolutionary Direct Policy Search Etor Arza Léni K. Le Goff E. Hart OffRL 36 3 0 07 Aug 2023
Vehicles Control: Collision Avoidance using Federated Deep Reinforcement Learning Badr Ben Elallid Amine Abouaomar N. Benamar A. Kobbane 11 5 0 04 Aug 2023
UniSim: A Neural Closed-Loop Sensor Simulator Ze Yang Yun Chen Jingkang Wang S. Manivasagam Wei-Chiu Ma A. Yang R. Urtasun 59 188 0 03 Aug 2023
qgym: A Gym for Training and Benchmarking RL-Based Quantum Compilation S. V. D. Linde Willem de Kok T. Bontekoe Sebastian Feld 8 10 0 01 Aug 2023
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization Junyi Wang Yuanyang Zhu Zhi Wang Yan Zheng Jianye Hao Chun-Han Chen OffRL 19 0 0 01 Aug 2023
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation Zhehua Zhou Jiayang Song Xuan Xie Zhan Shu Lei Ma Dikai Liu Jianxiong Yin Simon See 35 15 0 31 Jul 2023
Discovering Adaptable Symbolic Algorithms from Scratch Stephen Kelly Daniel S. Park Xingyou Song Mitchell McIntire Pranav Nashikkar ... W. Banzhaf Kalyanmoy Deb Vishnu Boddeti Jie Tan Esteban Real 33 3 0 31 Jul 2023
End-to-End Reinforcement Learning for Torque Based Variable Height Hopping Raghav Soni Daniel Harnack Hauke Isermann Sotaro Fushimi Shivesh Kumar Frank Kirchner 32 8 0 31 Jul 2023
Variance Control for Distributional Reinforcement Learning Qi Kuang Zhoufan Zhu Liwen Zhang Fan Zhou OffRL 28 3 0 30 Jul 2023
Initial State Interventions for Deconfounded Imitation Learning Samuel Pfrommer Yatong Bai Hyunin Lee Somayeh Sojoudi CML 35 2 0 29 Jul 2023
Dynamic deep-reinforcement-learning algorithm in Partially Observed Markov Decision Processes Saki Omi Hyo-Sang Shin Namhoon Cho Antonios Tsourdos 29 3 0 29 Jul 2023
trajdata: A Unified Interface to Multiple Human Trajectory Datasets Boris Ivanovic G. Song Igor Gilitschenski Marco Pavone AI4TS 37 17 0 26 Jul 2023
WebArena: A Realistic Web Environment for Building Autonomous Agents Shuyan Zhou Frank F. Xu Hao Zhu Xuhui Zhou Robert Lo ... Tianyue Ou Yonatan Bisk Daniel Fried Uri Alon Graham Neubig LLMAG 41 392 0 25 Jul 2023
MAEA: Multimodal Attribution for Embodied AI Vidhi Jain Jayant Sravan Tamarapalli Sahiti Yerramilli Yonatan Bisk 50 0 0 25 Jul 2023
Towards Sim2Real Transfer of Autonomy Algorithms using AutoDRIVE Ecosystem Chinmay Vilas Samak Tanmay Vilas Samak Venkat Krovi 41 6 0 25 Jul 2023
Policy Gradient Optimal Correlation Search for Variance Reduction in Monte Carlo simulation and Maximum Optimal Transport Pierre Bras Gilles Pagès 18 1 0 24 Jul 2023
Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation Nader Zare Aref Sayareh Omid Amini Mahtab Sarvmaili Arad Firouzkouhi Stan Matwin Amilcar Soares GP 19 1 0 22 Jul 2023