OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
A Novel Traffic Simulation Framework for Testing Autonomous Vehicles Using SUMO and CARLA P. Li Arpan Kusari D. Leblanc 43 15 0 14 Oct 2021
Extending Environments To Measure Self-Reflection In Reinforcement Learning S. Alexander Michael Castaneda K. Compher Oscar Martinez 68 6 0 13 Oct 2021
Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification Christian Korbach M. Solbach Raphael Memmesheimer Dietrich Paulus John K. Tsotsos EgoV 40 0 0 13 Oct 2021
A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark Thomas Cassimon Reinout Eyckerman Siegfried Mercelis Steven Latré P. Hellinckx 59 0 0 13 Oct 2021
GridLearn: Multiagent Reinforcement Learning for Grid-Aware Building Energy Management Aisling Pigott Constance Crozier K. Baker Zoltán Nagy AI4CE 177 41 0 12 Oct 2021
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees Siliang Zeng Tianyi Chen Alfredo García Mingyi Hong 92 11 0 11 Oct 2021
Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning Paul Maria Scheikl B. Gyenes Tornike Davitashvili Rayan Younis A. Schulze Beat P. Müller-Stich Gerhard Neumann M. Wagner F. Mathis-Ullrich 63 13 0 10 Oct 2021
DCT: Dynamic Compressive Transformer for Modeling Unbounded Sequence Kai-Po Chang Wei-Yun Ma 21 0 0 10 Oct 2021
Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation Junhong Shen Lin F. Yang OffRL 51 18 0 09 Oct 2021
Improving Kinodynamic Planners for Vehicular Navigation with Learned Goal-Reaching Controllers Aravind Sivaramakrishnan Edgar Granados Seth Karten T. McMahon Kostas E. Bekris 51 7 0 08 Oct 2021
Explaining Reward Functions to Humans for Better Human-Robot Collaboration Lindsay M. Sanneman J. Shah 45 5 0 08 Oct 2021
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning Edoardo Cetin Oya Celiktutan OffRL 85 17 0 07 Oct 2021
Optimized Recommender Systems with Deep Reinforcement Learning Lucas Farris OffRL 25 0 0 06 Oct 2021
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 161 49 0 06 Oct 2021
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL Benjamin Eysenbach Alexander Khazatsky Sergey Levine Ruslan Salakhutdinov OffRL 262 46 0 06 Oct 2021
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 218 102 0 06 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks Robert McCarthy Qiang Wang S. Redmond OffRL 72 15 0 05 Oct 2021
OTTR: Off-Road Trajectory Tracking using Reinforcement Learning Akhil Nagariya D. Kalathil Srikanth Saripalli OffRL 47 1 0 05 Oct 2021
You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL Wonjoon Goo S. Niekum OffRL 88 8 0 05 Oct 2021
Influencing Towards Stable Multi-Agent Interactions Woodrow Z. Wang Andy Shih Annie Xie Dorsa Sadigh 127 35 0 05 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 94 23 0 05 Oct 2021
Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations Chi Zhang S. Kuppannagari Viktor Prasanna OffRL 34 8 0 03 Oct 2021
Exploration of Artificial Intelligence-oriented Power System Dynamic Simulators Tannan Xiao Ying-Cong Chen Jianquan Wang Shaowei Huang Weilin Tong Tirui He 66 15 0 03 Oct 2021
BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning Chi Zhang S. Kuppannagari Viktor Prasanna OffRL 99 17 0 02 Oct 2021
Cycle-Consistent World Models for Domain Independent Latent Imagination Sidney Bender Tim Joseph Marius Zoellner 57 0 0 02 Oct 2021
Stanford Pupper: A Low-Cost Agile Quadruped Robot for Benchmarking and Education Nathan Kau 89 20 0 02 Oct 2021
Neural Network Verification in Control M. Everett AAML 70 17 0 30 Sep 2021
Untangling Braids with Multi-agent Q-Learning Abdullah Khan A. Vernitski A. Lisitsa AI4CE 43 6 0 29 Sep 2021
On the Estimation Bias in Double Q-Learning Zhizhou Ren Guangxiang Zhu Haotian Hu Beining Han Jian-Hai Chen Chongjie Zhang 82 17 0 29 Sep 2021
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning Hao-Lun Hsu Qiuhua Huang Sehoon Ha OffRL 91 12 0 29 Sep 2021
A First-Occupancy Representation for Reinforcement Learning Theodore H. Moskovitz S. Wilson M. Sahani 83 16 0 28 Sep 2021
Exploratory State Representation Learning Astrid Merckling Nicolas Perrin-Gilbert Alexandre Coninx Stéphane Doncieux OffRL 79 6 0 28 Sep 2021
Solving Challenging Control Problems Using Two-Staged Deep Reinforcement Learning Nitish Sontakke Sehoon Ha 76 1 0 27 Sep 2021
Learning Multimodal Rewards from Rankings Vivek Myers Erdem Biyik Nima Anari Dorsa Sadigh OffRL 88 51 0 27 Sep 2021
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms Liyuan Zheng Tanner Fiez Zane Alumbaugh Benjamin J. Chasnov Lillian J. Ratliff OffRL 99 42 0 25 Sep 2021
NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming Luke Kenworthy Siddharth Nayak Christopher R. Chin H. Balakrishnan 118 8 0 24 Sep 2021
Parameter-free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy Gradients Baturay Saglam Furkan B. Mutlu Dogan C. Cicek Suleyman S. Kozat OffRL 53 3 0 24 Sep 2021
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience C. Banerjee Zhiyong Chen N. Noman 56 34 0 24 Sep 2021
Enhancing SUMO simulator for simulation based testing and validation of autonomous vehicles Arpan Kusari P. Li Hanzhi Yang Nikhil Punshi Michelle Rasulis S. Bogard D. Leblanc 65 32 0 23 Sep 2021
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation A. Kamenev Lirui Wang Ollin Boer Bohan Ishwar Kulkarni Bilal Kartal Artem Molchanov Stan Birchfield David Nistér Nikolai Smolyanskiy 116 40 0 23 Sep 2021
ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement Learning Paul Almasan Shihan Xiao Xiangle Cheng Xiang Shi Pere Barlet-Ros A. Cabellos-Aparicio 108 20 0 22 Sep 2021
Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods Baturay Saglam Enes Duran Dogan C. Cicek Furkan B. Mutlu Suleyman S. Kozat OffRL 73 12 0 22 Sep 2021
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning Roy Zohar Shie Mannor Guy Tennenholtz 57 10 0 22 Sep 2021
Context-Specific Representation Abstraction for Deep Option Learning Marwa Abdulhai Dong-Ki Kim Matthew D Riemer Miao Liu Gerald Tesauro Jonathan P. How OffRL 92 10 0 20 Sep 2021
Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards Deyu Yang Hanbo Zhang Xuguang Lan Jishiyu Ding OffRL 77 2 0 18 Sep 2021
Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach Minghao Li Yingrui Jie Yang Kong Hui Cheng 60 9 0 17 Sep 2021
Soft Actor-Critic With Integer Actions Ting-Han Fan Yubo Wang 69 15 0 17 Sep 2021
Dropout's Dream Land: Generalization from Learned Simulators to Reality Zac Wellmer James T. Kwok SyDa 69 9 0 17 Sep 2021
Automated Testing with Temporal Logic Specifications for Robotic Controllers using Adaptive Experiment Design Craig Innes S. Ramamoorthy 65 5 0 16 Sep 2021
ROS-X-Habitat: Bridging the ROS Ecosystem with Embodied AI Guanxiong Chen Haoyu Yang Ian M. Mitchell LM&Ro 83 8 0 16 Sep 2021