OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots Chuhan Zhang Cong Wang Wei Pan Cosimo Della Santina 73 0 0 31 Jan 2025
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems Se-Wook Yoo Seung-Woo Seo 58 0 0 30 Jan 2025
Divergence-Augmented Policy Optimization Qing Wang Yingru Li Jiechao Xiong Tong Zhang OffRL 47 16 0 28 Jan 2025
Upside Down Reinforcement Learning with Policy Generators Jacopo Di Ventura Dylan R. Ashley Vincent Herrmann Francesco Faccio Jürgen Schmidhuber 39 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 51 0 0 31 Dec 2024
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory Yangchun Zhang Wang Zhou Yirui Zhou 55 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 36 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 87 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 75 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 87 0 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 76 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 31 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 53 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 27 1 0 07 Nov 2024
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF Heyang Zhao Chenlu Ye Quanquan Gu Tong Zhang OffRL 62 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 39 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 39 1 0 28 Oct 2024
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization Nico Meyer Julian Berberich Christopher Mutschler Daniel D. Scherer 34 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 44 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 24 0 0 22 Oct 2024
Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning Frameworks Zixuan Yang Jiaqi Zheng Guihai Chen OffRL 36 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 34 1 0 08 Oct 2024
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning Claire Chen Shuze Liu Shangtong Zhang OffRL 189 1 0 08 Oct 2024
Control-oriented Clustering of Visual Latent Representation Han Qi Haocheng Yin Heng Yang SSL 66 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 41 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 34 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 29 1 0 30 Sep 2024
Constrained Reinforcement Learning for Safe Heat Pump Control Baohe Zhang Lilli Frison Thomas Brox Joschka Bödecker AI4CE 21 0 0 29 Sep 2024
Double Actor-Critic with TD Error-Driven Regularization in Reinforcement Learning Haohui Chen Zhiyong Chen Aoxiang Liu Wentuo Fang OffRL 35 0 0 28 Sep 2024