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OpenAI Gym

OpenAI Gym

5 June 2016
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
    OffRLODL
ArXiv (abs)PDFHTML

Papers citing "OpenAI Gym"

50 / 2,578 papers shown
Title
FF-SRL: High Performance GPU-Based Surgical Simulation For Robot Learning
FF-SRL: High Performance GPU-Based Surgical Simulation For Robot Learning
Diego DallÁlba
Michał Nasket
Sabina Kaminska
Przemysław Korzeniowski
OffRLAI4CE
116
1
0
24 Mar 2025
Computationally and Sample Efficient Safe Reinforcement Learning Using Adaptive Conformal Prediction
Computationally and Sample Efficient Safe Reinforcement Learning Using Adaptive Conformal Prediction
Hao Zhou
Yanze Zhang
Wenhao Luo
72
1
0
22 Mar 2025
Survey on Evaluation of LLM-based Agents
Survey on Evaluation of LLM-based Agents
Asaf Yehudai
Lilach Eden
Alan Li
Guy Uziel
Yilun Zhao
Roy Bar-Haim
Arman Cohan
Michal Shmueli-Scheuer
LLMAGELM
Presented at ResearchTrend Connect | LLMAG on 07 May 2025
197
14
0
20 Mar 2025
APF+: Boosting adaptive-potential function reinforcement learning methods with a W-shaped network for high-dimensional games
APF+: Boosting adaptive-potential function reinforcement learning methods with a W-shaped network for high-dimensional games
Yifei Chen
Lambert Schomaker
86
0
0
17 Mar 2025
MarineGym: A High-Performance Reinforcement Learning Platform for Underwater Robotics
Shuguang Chu
Zebin Huang
Yutong Li
Mingwei Lin
Ignacio Carlucho
Y. Pétillot
Canjun Yang
OffRLAI4CE
90
0
0
13 Mar 2025
Safe exploration in reproducing kernel Hilbert spaces
Abdullah Tokmak
Kiran G. Krishnan
Thomas B. Schon
Dominik Baumann
79
0
0
13 Mar 2025
A nonlinear real time capable motion cueing algorithm based on deep reinforcement learning
A nonlinear real time capable motion cueing algorithm based on deep reinforcement learning
Hendrik Scheidel
Camilo Gonzalez
Houshyar Asadi
Tobias Bellmann
A. Seefried
Shady M. K. Mohamed
Saeid Nahavandi
182
0
0
13 Mar 2025
RESTRAIN: Reinforcement Learning-Based Secure Framework for Trigger-Action IoT Environment
Md Morshed Alam
Lokesh Chandra Das
Sandip Roy
Sachin Shetty
Weichao Wang
AAMLOffRL
163
0
0
12 Mar 2025
Soft Actor-Critic-based Control Barrier Adaptation for Robust Autonomous Navigation in Unknown Environments
Nicholas Mohammad
Nicola Bezzo
99
1
0
11 Mar 2025
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation
Mohit Prashant
Arvind Easwaran
Suman Das
Michael Yuhas
OffRL
102
1
0
07 Mar 2025
Review of Machine Learning for Micro-Electronic Design Verification
Review of Machine Learning for Micro-Electronic Design Verification
Christopher Bennett
Kerstin Eder
57
1
0
05 Mar 2025
Actor-Critic Cooperative Compensation to Model Predictive Control for Off-Road Autonomous Vehicles Under Unknown Dynamics
Prakhar Gupta
J. Smereka
Yunyi Jia
77
0
0
01 Mar 2025
Equivariant Reinforcement Learning Frameworks for Quadrotor Low-Level Control
Equivariant Reinforcement Learning Frameworks for Quadrotor Low-Level Control
Beomyeol Yu
Taeyoung Lee
136
0
0
27 Feb 2025
Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization
Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization
Lujie Yang
H.J. Terry Suh
Tong Zhao
B. P. Graesdal
Tarik Kelestemur
Jiuguang Wang
Tao Pang
Russ Tedrake
149
5
0
27 Feb 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hojoon Lee
Youngdo Lee
Takuma Seno
Donghu Kim
Peter Stone
Jaegul Choo
181
4
0
21 Feb 2025
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
Xuyang Li
Romit Maulik
125
0
0
21 Feb 2025
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning
Giuseppe Paolo
Abdelhakim Benechehab
Hamza Cherkaoui
Albert Thomas
Balázs Kégl
96
0
0
21 Feb 2025
RobotIQ: Empowering Mobile Robots with Human-Level Planning for Real-World Execution
RobotIQ: Empowering Mobile Robots with Human-Level Planning for Real-World Execution
Emmanuel K. Raptis
Athanasios Ch. Kapoutsis
Elias B. Kosmatopoulos
LM&Ro
125
0
0
18 Feb 2025
Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options
Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options
Lakshmi Nair
Ian Trase
Mark Kim
AIFinLRMAI4CE
116
2
0
18 Feb 2025
Warm Starting of CMA-ES for Contextual Optimization Problems
Warm Starting of CMA-ES for Contextual Optimization Problems
Yuta Sekino
Kento Uchida
Shinichi Shirakawa
145
0
0
18 Feb 2025
Stonefish: Supporting Machine Learning Research in Marine Robotics
Stonefish: Supporting Machine Learning Research in Marine Robotics
Michele Grimaldi
Patryk Cieslak
Eduardo Ochoa
Vibhav Bharti
Hayat Rajani
Ignacio Carlucho
Maria Koskinopoulou
Y. Pétillot
N. Gracias
AI4CE
147
5
0
17 Feb 2025
MassSpecGym: A benchmark for the discovery and identification of molecules
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
148
6
0
17 Feb 2025
SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots
SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots
Chuhan Zhang
Cong Wang
Wei Pan
Cosimo Della Santina
118
0
0
31 Jan 2025
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
Se-Wook Yoo
Seung-Woo Seo
108
0
0
30 Jan 2025
Benchmarking Model Predictive Control and Reinforcement Learning Based Control for Legged Robot Locomotion in MuJoCo Simulation
Benchmarking Model Predictive Control and Reinforcement Learning Based Control for Legged Robot Locomotion in MuJoCo Simulation
Shivayogi Akki
Tan Chen
86
0
0
28 Jan 2025
Divergence-Augmented Policy Optimization
Qing Wang
Yingru Li
Jiechao Xiong
Tong Zhang
OffRL
174
16
0
28 Jan 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Chen Wang
Kaiyi Ji
Junyi Geng
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Yue Yang
Xiao Lin
Zhipeng Zhao
SSL
160
10
0
28 Jan 2025
Upside Down Reinforcement Learning with Policy Generators
Upside Down Reinforcement Learning with Policy Generators
Jacopo Di Ventura
Dylan R. Ashley
Vincent Herrmann
Francesco Faccio
Jürgen Schmidhuber
106
0
0
27 Jan 2025
GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation
GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation
Shashikant Ilager
Lukas Florian Briem
Ivona Brandić
78
0
0
19 Jan 2025
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
Sergio Rozada
Santiago Paternain
J. Bazerque
Antonio G. Marques
108
0
0
17 Jan 2025
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks
Yi Wan
D. Korenkevych
Zheqing Zhu
OffRLCLL
79
0
0
12 Jan 2025
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory
Yangchun Zhang
Wang Zhou
Yirui Zhou
95
0
0
31 Dec 2024
Investigating the Impact of Communication-Induced Action Space on Exploration of Unknown Environments with Decentralized Multi-Agent Reinforcement Learning
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
76
0
0
31 Dec 2024
Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene
  Interaction Learning via Human Mimicking
Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking
Yun-Hai Liu
Bowen Yang
Licheng Zhong
He Wang
Li Yi
116
8
0
23 Dec 2024
Reinforcement Learning with a Focus on Adjusting Policies to Reach
  Targets
Reinforcement Learning with a Focus on Adjusting Policies to Reach Targets
Akane Tsuboya
Yu Kono
Tatsuji Takahashi
70
0
0
23 Dec 2024
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning
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
170
1
0
22 Dec 2024
Enabling Realtime Reinforcement Learning at Scale with Staggered
  Asynchronous Inference
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
Matthew D Riemer
G. Subbaraj
Glen Berseth
Irina Rish
OffRL
140
2
0
18 Dec 2024
Design of Restricted Normalizing Flow towards Arbitrary Stochastic
  Policy with Computational Efficiency
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency
Taisuke Kobayashi
Takumi Aotani
174
5
0
17 Dec 2024
Adaptive Reward Design for Reinforcement Learning
Adaptive Reward Design for Reinforcement Learning
Minjae Kwon
Ingy Elsayed-Aly
Lu Feng
155
2
0
14 Dec 2024
RL2: Reinforce Large Language Model to Assist Safe Reinforcement
  Learning for Energy Management of Active Distribution Networks
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
94
2
0
02 Dec 2024
SANGO: Socially Aware Navigation through Grouped Obstacles
SANGO: Socially Aware Navigation through Grouped Obstacles
Rahath Malladi
Amol Harsh
Arshia Sangwan
Sunita Chauhan
Sandeep Manjanna
94
0
0
29 Nov 2024
Joint Combinatorial Node Selection and Resource Allocations in the
  Lightning Network using Attention-based Reinforcement Learning
Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning
Mahdi Salahshour
Amirahmad Shafiee
Mojtaba Tefagh
119
0
0
26 Nov 2024
Broad Critic Deep Actor Reinforcement Learning for Continuous Control
Broad Critic Deep Actor Reinforcement Learning for Continuous Control
Shiron Thalagala
Pak Kin Wong
Xiaozheng Wang
Tianang Sun
OffRL
179
0
0
24 Nov 2024
Creating Hierarchical Dispositions of Needs in an Agent
Creating Hierarchical Dispositions of Needs in an Agent
Tofara Moyo
125
0
0
23 Nov 2024
Multi-Agent Environments for Vehicle Routing Problems
Multi-Agent Environments for Vehicle Routing Problems
Ricardo Gama
Daniel Fuertes
Carlos R. del-Blanco
Hugo L. Fernandes
AI4CE
151
0
0
21 Nov 2024
SuPLE: Robot Learning with Lyapunov Rewards
SuPLE: Robot Learning with Lyapunov Rewards
Phu Nguyen
Daniel Polani
Stas Tiomkin
99
0
0
20 Nov 2024
Multi-agent Path Finding for Timed Tasks using Evolutionary Games
Multi-agent Path Finding for Timed Tasks using Evolutionary Games
Sheryl Paul
Anand Balakrishnan
Xin Qin
Jyotirmoy V. Deshmukh
57
0
0
15 Nov 2024
Precision-Focused Reinforcement Learning Model for Robotic Object
  Pushing
Precision-Focused Reinforcement Learning Model for Robotic Object Pushing
Lara Bergmann
David P. Leins
R. Haschke
Klaus Neumann
93
3
0
13 Nov 2024
CROPS: A Deployable Crop Management System Over All Possible State
  Availabilities
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
101
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
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
54
2
0
07 Nov 2024
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