OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,677 papers shown

Title
MassSpecGym: A benchmark for the discovery and identification of molecules Roman Bushuiev Anton Bushuiev Niek F. de Jonge A. Young Fleming Kretschmer ... Justin J. J. van der Hooft Michael A. Stravs Sebastian Böcker Josef Sivic Tomáš Pluskal 54 4 0 17 Feb 2025
SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots Chuhan Zhang Cong Wang Wei Pan Cosimo Della Santina 78 0 0 31 Jan 2025
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems Se-Wook Yoo Seung-Woo Seo 63 0 0 30 Jan 2025
Divergence-Augmented Policy Optimization Qing Wang Yingru Li Jiechao Xiong Tong Zhang OffRL 55 16 0 28 Jan 2025
Upside Down Reinforcement Learning with Policy Generators Jacopo Di Ventura Dylan R. Ashley Vincent Herrmann Francesco Faccio Jürgen Schmidhuber 44 0 0 27 Jan 2025
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning Sergio Rozada Santiago Paternain J. Bazerque Antonio G. Marques 69 0 0 17 Jan 2025
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Yi Wan D. Korenkevych Zheqing Zhu OffRL CLL 55 0 0 12 Jan 2025
Investigating the Impact of Communication-Induced Action Space on Exploration of Unknown Environments with Decentralized Multi-Agent Reinforcement Learning Gabriele Calzolari Vidya Sumathy Christoforos Kanellakis G. Nikolakopoulos 53 0 0 31 Dec 2024
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory Yangchun Zhang Wang Zhou Yirui Zhou 60 0 0 31 Dec 2024
Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking Yun-Hai Liu Bowen Yang Licheng Zhong He Wang Li Yi 58 5 0 23 Dec 2024
Reinforcement Learning with a Focus on Adjusting Policies to Reach Targets Akane Tsuboya Yu Kono Tatsuji Takahashi 41 0 0 23 Dec 2024
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning Kun Wu Yinuo Zhao Zhihao Xu Zhengping Che Chengxiang Yin C. Liu Qinru Qiu Feiferi Feng OffRL 109 1 0 22 Dec 2024
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Matthew D Riemer G. Subbaraj Glen Berseth Irina Rish OffRL 90 1 0 18 Dec 2024
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency Taisuke Kobayashi Takumi Aotani 145 5 0 17 Dec 2024
Adaptive Reward Design for Reinforcement Learning Minjae Kwon Ingy Elsayed-Aly Lu Feng 80 2 0 14 Dec 2024
RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks Xu Yang Chenhui Lin Haotian Liu Wenchuan Wu 90 1 0 02 Dec 2024
SANGO: Socially Aware Navigation through Grouped Obstacles Rahath Malladi Amol Harsh Arshia Sangwan Sunita Chauhan Sandeep Manjanna 67 0 0 29 Nov 2024
Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Mahdi Salahshour Amirahmad Shafiee Mojtaba Tefagh 76 0 0 26 Nov 2024
Broad Critic Deep Actor Reinforcement Learning for Continuous Control Shiron Thalagala Pak Kin Wong Xiaozheng Wang Tianang Sun OffRL 81 0 0 24 Nov 2024
Creating Hierarchical Dispositions of Needs in an Agent Tofara Moyo 91 0 0 23 Nov 2024
Multi-Agent Environments for Vehicle Routing Problems Ricardo Gama Daniel Fuertes Carlos R. del-Blanco Hugo L. Fernandes AI4CE 89 0 0 21 Nov 2024
SuPLE: Robot Learning with Lyapunov Rewards Phu Nguyen Daniel Polani Stas Tiomkin 69 0 0 20 Nov 2024
Multi-agent Path Finding for Timed Tasks using Evolutionary Games Sheryl Paul Anand Balakrishnan Xin Qin Jyotirmoy V. Deshmukh 33 0 0 15 Nov 2024
Precision-Focused Reinforcement Learning Model for Robotic Object Pushing Lara Bergmann David P. Leins R. Haschke Klaus Neumann 42 3 0 13 Nov 2024
CROPS: A Deployable Crop Management System Over All Possible State Availabilities Jing Wu Zhixin Lai Shengjie Liu Suiyao Chen Ran Tao Pan Zhao Chuyuan Tao Yikun Cheng N. Hovakimyan OffRL 58 0 0 09 Nov 2024
Learn to Solve Vehicle Routing Problems ASAP: A Neural Optimization Approach for Time-Constrained Vehicle Routing Problems with Finite Vehicle Fleet Elija Deineko Carina Kehrt 29 1 0 07 Nov 2024
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF Heyang Zhao Chenlu Ye Quanquan Gu Tong Zhang OffRL 71 3 0 07 Nov 2024
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers Kai Yan Alex Schwing Yu-xiong Wang OffRL OnRL 41 0 0 31 Oct 2024
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs Davide Maran Alberto Maria Metelli Matteo Papini Marcello Restelli 44 0 0 31 Oct 2024
SoftCTRL: Soft conservative KL-control of Transformer Reinforcement Learning for Autonomous Driving Minh Tri Huynh Duc Dung Nguyen OffRL 31 0 0 30 Oct 2024
Environment as Policy: Learning to Race in Unseen Tracks Hongze Wang Jiaxu Xing Nico Messikommer Davide Scaramuzza 34 1 0 29 Oct 2024
A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications Sriniketh Vangaru Daniel Rosen Dylan Green Raphael Rodriguez Maxwell Wiecek Amos Johnson Alyse M. Jones William C. Headley 42 1 0 28 Oct 2024
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization Nico Meyer Julian Berberich Christopher Mutschler Daniel D. Scherer 37 0 0 28 Oct 2024
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning Kaiyan Zhao Yiming Wang Yuyang Chen Yan Li Leong Hou U Xiaoguang Niu 46 1 0 27 Oct 2024
Prioritized Generative Replay Renhao Wang Kevin Frans Pieter Abbeel Sergey Levine Alexei A. Efros OnRL DiffM 119 2 0 23 Oct 2024
Guiding Reinforcement Learning with Incomplete System Dynamics Shuyuan Wang Jingliang Duan Nathan P. Lawrence Philip D. Loewen M. Forbes R. Bhushan Gopaluni Lixian Zhang 29 0 0 22 Oct 2024
Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning Frameworks Zixuan Yang Jiaqi Zheng Guihai Chen OffRL 41 0 0 19 Oct 2024
Transformer Guided Coevolution: Improved Team Selection in Multiagent Adversarial Team Games Pranav Rajbhandari Prithviraj Dasgupta D. Sofge 21 0 0 17 Oct 2024
Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation Kemal Davaslioglu Sastry Kompella T. Erpek Y. Sagduyu 26 1 0 14 Oct 2024
iFANnpp: Nuclear Power Plant Digital Twin for Robots and Autonomous Intelligence Youndo Do Marc Zebrowitz Jackson Stahl Fan Zhang AI4CE 24 0 0 11 Oct 2024
Neuroplastic Expansion in Deep Reinforcement Learning Jiashun Liu J. Obando-Ceron Rameswar Panda L. Pan 47 3 0 10 Oct 2024
Solving Multi-Goal Robotic Tasks with Decision Transformer Paul Gajewski Dominik Zurek Marcin Pietroñ Kamil Faber OffRL 37 1 0 08 Oct 2024
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning Claire Chen Shuze Liu Shangtong Zhang OffRL 210 1 0 08 Oct 2024
Control-oriented Clustering of Visual Latent Representation Han Qi Haocheng Yin Heng Yang SSL 69 2 0 07 Oct 2024
DABI: Evaluation of Data Augmentation Methods Using Downsampling in Bilateral Control-Based Imitation Learning with Images Masato Kobayashi Thanpimon Buamanee Yuki Uranishi 26 2 0 06 Oct 2024
Urban Computing for Climate and Environmental Justice: Early Perspectives From Two Research Initiatives Carolina Veiga Ashish Sharma Daniel de Oliveira Marcos Lage Fabio Miranda AI4CE 44 0 0 06 Oct 2024
Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space Yangming Li Chieh-Hsin Lai Carola-Bibiane Schönlieb Yuki Mitsufuji Stefano Ermon DiffM 48 0 0 02 Oct 2024
AARK: An Open Toolkit for Autonomous Racing Research J. Bockman Matthew Howe Adrian Orenstein Feras Dayoub 39 0 0 01 Oct 2024
Learning to Swim: Reinforcement Learning for 6-DOF Control of Thruster-driven Autonomous Underwater Vehicles Levi Cai Kevin Chang Yogesh A. Girdhar 32 1 0 30 Sep 2024
Constrained Reinforcement Learning for Safe Heat Pump Control Baohe Zhang Lilli Frison Thomas Brox Joschka Bödecker AI4CE 26 0 0 29 Sep 2024