OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,705 papers shown

Title
Learning Physically Realizable Skills for Online Packing of General 3D Shapes Hang Zhao Zherong Pan Yang Yu Kai Xu OffRL 45 14 0 05 Dec 2022
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks Yeguang Qin Yilin Yang Fengxiao Tang Xin Yao Mingde Zhao Nei Kato 37 6 0 05 Dec 2022
Automata Learning meets Shielding Martin Tappler Stefan Pranger Bettina Könighofer Edi Muškardin Roderick Bloem Kim G. Larsen 38 4 0 04 Dec 2022
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning Boxuan Zhao Jun Zhang Deheng Ye Jiancheng Cao Xiao Han Qiang Fu Wei Yang OffRL 31 9 0 04 Dec 2022
Selecting Mechanical Parameters of a Monopode Jumping System with Reinforcement Learning Andrew S. Albright J. Vaughan 26 1 0 02 Dec 2022
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning Jacob Adamczyk A. Arriojas Stas Tiomkin R. Kulkarni 45 8 0 02 Dec 2022
STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning Nikhil Kumar Singh Indranil Saha 23 6 0 02 Dec 2022
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments Christian Bitter Timo Thun Tobias Meisen 36 1 0 01 Dec 2022
Symmetry Detection in Trajectory Data for More Meaningful Reinforcement Learning Representations Marissa DÁlonzo Rebecca L. Russell 25 0 0 29 Nov 2022
Learning and Understanding a Disentangled Feature Representation for Hidden Parameters in Reinforcement Learning Christopher P. Reale Rebecca L. Russell 25 1 0 29 Nov 2022
Closing the gap between SVRG and TD-SVRG with Gradient Splitting Arsenii Mustafin Alexander Olshevsky I. Paschalidis 24 1 0 29 Nov 2022
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning Qiangxing Tian Kun Kuang Furui Liu Baoxiang Wang OffRL 34 9 0 28 Nov 2022
Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning Leo Ardon Alberto Pozanco Daniel Borrajo Sumitra Ganesh OffRL 23 0 0 28 Nov 2022
Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning Tuan-Duong Trinh Haoyu Chen Daniel S. Brown OffRL 41 7 0 28 Nov 2022
Causal Deep Reinforcement Learning Using Observational Data Wenxuan Zhu Chao Yu Qiaosheng Zhang CML OffRL 26 5 0 28 Nov 2022
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability Whiyoung Jung Myungsik Cho Jongeui Park Young-Jin Sung 43 4 0 28 Nov 2022
QLAMMP: A Q-Learning Agent for Optimizing Fees on Automated Market Making Protocols Dev Churiwala Bhaskar Krishnamachari 6 4 0 28 Nov 2022
Domain Generalization for Robust Model-Based Offline Reinforcement Learning Alan Clark Shoaib Ahmed Siddiqui Robert Kirk Usman Anwar Stephen Chung David M. Krueger OOD OffRL 39 0 0 27 Nov 2022
Generalizing Gaussian Smoothing for Random Search Katelyn Gao Ozan Sener 44 14 0 27 Nov 2022
How Crucial is Transformer in Decision Transformer? Max Siebenborn Boris Belousov Junning Huang Jan Peters 24 15 0 26 Nov 2022
Software Simulation and Visualization of Quantum Multi-Drone Reinforcement Learning C. Park Jae Pyoung Kim Won Joon Yun Soohyun Park Soyi Jung Joongheon Kim 39 0 0 24 Nov 2022
Simultaneously Updating All Persistence Values in Reinforcement Learning Luca Sabbioni Luca Al Daire L. Bisi Alberto Maria Metelli Marcello Restelli 35 2 0 21 Nov 2022
Data-Driven Offline Decision-Making via Invariant Representation Learning Qi Yi-Hsun Su Aviral Kumar Sergey Levine OffRL 54 19 0 21 Nov 2022
A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning Lang Qin Rui Yan Huajin Tang OffRL 18 6 0 21 Nov 2022
Automating Rigid Origami Design Jeremia Geiger Karolis Martinkus Oliver Richter Roger Wattenhofer 26 1 0 20 Nov 2022
LibSignal: An Open Library for Traffic Signal Control Hao Mei Xiaoliang Lei Longchao Da Bin Shi Hua Wei AI4TS 24 18 0 19 Nov 2022
A Neural Active Inference Model of Perceptual-Motor Learning Zhizhuo Yang Gabriel J. Diaz B. Fajen Reynold J. Bailey Alexander Ororbia 29 1 0 16 Nov 2022
Boosting Object Representation Learning via Motion and Object Continuity Quentin Delfosse Wolfgang Stammer Thomas Rothenbacher Dwarak Vittal Kristian Kersting OCL 54 20 0 16 Nov 2022
pyRDDLGym: From RDDL to Gym Environments Ayal Taitler Michael Gimelfarb Jihwan Jeong Sriram Gopalakrishnan Martin Mladenov Xiaotian Liu Scott Sanner 25 8 0 11 Nov 2022
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration Alexandre Chenu Olivier Serris Olivier Sigaud Nicolas Perrin-Gilbert 33 4 0 09 Nov 2022
Detecting and Accommodating Novel Types and Concepts in an Embodied Simulation Environment Sadaf Ghaffari Nikhil Krishnaswamy 19 7 0 08 Nov 2022
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping Ronilo Ragodos Tong Wang Qihang Lin Xun Zhou 31 7 0 06 Nov 2022
lilGym: Natural Language Visual Reasoning with Reinforcement Learning Anne Wu Kianté Brantley Noriyuki Kojima Yoav Artzi ReLM OffRL LRM 49 3 0 03 Nov 2022
Leveraging Fully Observable Policies for Learning under Partial Observability Hai V. Nguyen Andrea Baisero Dian Wang Chris Amato Robert Platt OffRL 50 19 0 03 Nov 2022
Learning Control by Iterative Inversion Gal Leibovich Guy Jacob Or Avner Gal Novik Aviv Tamar 26 0 0 03 Nov 2022
Benefits of Monotonicity in Safe Exploration with Gaussian Processes Arpan Losalka Jonathan Scarlett 31 1 0 03 Nov 2022
Event Tables for Efficient Experience Replay Varun Kompella Thomas J. Walsh Samuel Barrett Peter R. Wurman Peter Stone OffRL 35 2 0 01 Nov 2022
Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous Traffic using Multi-Agent Proximal Policy Optimisation L. Parada Eduardo Candela Luís Marques Panagiotis Angeloudis 27 11 0 31 Oct 2022
A Unified Blockchain-Semantic Framework for Wireless Edge Intelligence Enabled Web 3.0 Yi-Lan Lin Zhipeng Gao Hongyang Du Dusit Niyato Jiawen Kang Ruilong Deng X. Shen 23 42 0 27 Oct 2022
Quantum deep recurrent reinforcement learning Samuel Yen-Chi Chen 69 19 0 26 Oct 2022
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning Yi Zhao Rinu Boney Alexander Ilin Arno Solin Joni Pajarinen OffRL OnRL 28 39 0 25 Oct 2022
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance Xiaoxiao Wang Fanyu Meng Xin Liu Z. Kong Xin Chen XAI CML FAtt 66 4 0 24 Oct 2022
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains Manon Flageat Félix Chalumeau Antoine Cully 36 26 0 24 Oct 2022
DaXBench: Benchmarking Deformable Object Manipulation with Differentiable Physics Siwei Chen Yiqing Xu Cunjun Yu Linfeng Li Xiao Ma Zhongwen Xu David Hsu AI4CE 36 16 0 24 Oct 2022
Ares: A System-Oriented Wargame Framework for Adversarial ML Farhan Ahmed Pratik Vaishnavi Kevin Eykholt Amir Rahmati AAML 30 7 0 24 Oct 2022
Active Exploration for Robotic Manipulation Tim Schneider Boris Belousov Georgia Chalvatzaki Diego Romeres Devesh K. Jha Jan Peters 65 10 0 23 Oct 2022
Augmentative Topology Agents For Open-Ended Learning Muhammad Umair Nasir Michael Beukman Steven D. James C. Cleghorn 42 3 0 20 Oct 2022
RCareWorld: A Human-centric Simulation World for Caregiving Robots Ruolin Ye Wenqiang Xu Haoyuan Fu Rajat Kumar Jenamani V. Nguyen Cewu Lu Katherine Dimitropoulou Tapomayukh Bhattacharjee LM&Ro 32 39 0 19 Oct 2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning Abdus Salam Azad Izzeddin Gur Jasper Emhoff Nathaniel Alexis Aleksandra Faust Pieter Abbeel Ion Stoica SSL 34 12 0 19 Oct 2022
Planning for Sample Efficient Imitation Learning Zhao-Heng Yin Weirui Ye Qifeng Chen Yang Gao OffRL 44 21 0 18 Oct 2022