OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
Data Poisoning Attacks on Off-Policy Policy Evaluation Methods Elita Lobo Harvineet Singh Marek Petrik Cynthia Rudin Himabindu Lakkaraju 36 3 0 06 Apr 2024
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack Rachmad Vidya Wicaksana Putra Alberto Marchisio F. Zayer Jorge Dias Mohamed Bennai 41 10 0 04 Apr 2024
Integrating Explanations in Learning LTL Specifications from Demonstrations Ashutosh Gupta John Komp Abhay Singh Rajput Shankaranarayanan Krishna Ashutosh Trivedi Namrita Varshney 21 0 0 03 Apr 2024
EV2Gym: A Flexible V2G Simulator for EV Smart Charging Research and Benchmarking Stavros Orfanoudakis C. Diaz-Londono Yunus E. Yilmaz Peter Palensky Pedro P. Vergara 20 5 0 02 Apr 2024
Extremum-Seeking Action Selection for Accelerating Policy Optimization Ya-Chien Chang Sicun Gao 45 0 0 02 Apr 2024
Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo-Distributed Data Centers Ninad Hogade S. Pasricha AI4CE 14 2 0 01 Apr 2024
Zero-shot Safety Prediction for Autonomous Robots with Foundation World Models Zhenjiang Mao Siqi Dai Yuang Geng Ivan Ruchkin 48 3 0 30 Mar 2024
Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-Learning Baoyu Li William Edwards Kris Hauser 34 0 0 30 Mar 2024
Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning Duzhen Zhang Qingyu Wang Tielin Zhang Bo Xu 164 1 0 29 Mar 2024
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening Hei Yi Mak Flint Xiaofeng Fan Luca A. Lanzendörfer Cheston Tan Wei Tsang Ooi Roger Wattenhofer FedML 32 2 0 29 Mar 2024
Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State Spaces Toshihiro Ota Mamba 46 16 0 29 Mar 2024
Application-Driven Innovation in Machine Learning David Rolnick Alán Aspuru-Guzik Sara Beery B. Dilkina P. Donti ... Hannah Kerner C. Monteleoni Esther Rolf Milind Tambe Adam White 41 8 0 26 Mar 2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving Axel Brunnbauer Luigi Berducci P. Priller D. Ničković Radu Grosu 55 1 0 26 Mar 2024
Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process Kevin S. Miller Adam J. Thorpe Ufuk Topcu 29 0 0 25 Mar 2024
A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments G. D’Amico Mauro Marinoni Giorgio Buttazzo OffRL 40 1 0 25 Mar 2024
Deep Gaussian Covariance Network with Trajectory Sampling for Data-Efficient Policy Search Can Bogoclu Robert Vosshall K. Cremanns Dirk Roos BDL 25 1 0 23 Mar 2024
ARO: Large Language Model Supervised Robotics Text2Skill Autonomous Learning Yiwen Chen Yuyao Ye Ziyi Chen Chuheng Zhang Marcelo H. Ang 52 0 0 23 Mar 2024
Rethinking Adversarial Inverse Reinforcement Learning: Policy Imitation, Transferable Reward Recovery and Algebraic Equilibrium Proof Yangchun Zhang Qiang Liu Weiming Li Yirui Zhou 43 0 0 21 Mar 2024
On Predictive planning and counterfactual learning in active inference Aswin Paul Takuya Isomura Adeel Razi AI4CE 41 2 0 19 Mar 2024
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning Antonio Lopez David Fridovich-Keil 38 1 0 18 Mar 2024
Bridging the Gap between Discrete Agent Strategies in Game Theory and Continuous Motion Planning in Dynamic Environments Hongrui Zheng Zhijun Zhuang Stephanie Wu Shuo Yang Rahul Mangharam 32 1 0 17 Mar 2024
HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation Carmelo Sferrazza Dun-Ming Huang Xingyu Lin Youngwoon Lee Pieter Abbeel 60 37 0 15 Mar 2024
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors Yucen Wang Shenghua Wan Le Gan Shuai Feng De-Chuan Zhan VGen 27 4 0 15 Mar 2024
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis Rui Liu Erfaun Noorani Pratap Tokekar John S. Baras 39 1 0 13 Mar 2024
A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation Pan He Quanyi Li Xiaoyong Yuan Bolei Zhou 44 0 0 11 Mar 2024
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning Junseok Park Yoonsung Kim Hee Bin Yoo Min Whoo Lee Kibeom Kim Won-Seok Choi Minsu Lee Byoung-Tak Zhang OffRL 45 1 0 11 Mar 2024
LitSim: A Conflict-aware Policy for Long-term Interactive Traffic Simulation haojie xin Xiaodong Zhang Renzhi Tang Songyang Yan Qianrui Zhao Chunze Yang Wen Cui Zijiang Yang 58 2 0 07 Mar 2024
RACE-SM: Reinforcement Learning Based Autonomous Control for Social On-Ramp Merging Jordan Poots 27 0 0 05 Mar 2024
Behavior Generation with Latent Actions Seungjae Lee Yibin Wang Haritheja Etukuru H. J. Kim Mahi Shafiullah Lerrel Pinto VGen OffRL 35 66 0 05 Mar 2024
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution Hongshu Guo Yining Ma Zeyuan Ma Jiacheng Chen Xinglin Zhang Zhiguang Cao Jun Zhang Yue-jiao Gong 49 18 0 04 Mar 2024
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning Michael T. Matthews Michael Beukman Benjamin Ellis Mikayel Samvelyan Matthew Jackson Samuel Coward Jakob Foerster OffRL 42 26 0 26 Feb 2024
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning Anthony Liang Guy Tennenholtz Chih-Wei Hsu Yinlam Chow Erdem Biyik Craig Boutilier OffRL 45 1 0 25 Feb 2024
Leveraging Demonstrator-perceived Precision for Safe Interactive Imitation Learning of Clearance-limited Tasks Hanbit Oh Takamitsu Matsubara 66 3 0 21 Feb 2024
Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization Luca DÁmico-Wong Hugh Zhang Marc Lanctot David C. Parkes OffRL 16 0 0 19 Feb 2024
Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent Quentin Gallouedec E. Beeching Clément Romac Emmanuel Dellandrea 37 11 0 15 Feb 2024
Dataset Clustering for Improved Offline Policy Learning Qiang Wang Yixin Deng Francisco Roldan Sanchez Keru Wang Kevin McGuinness Noel E. O'Connor Stephen J. Redmond OffRL 34 2 0 14 Feb 2024
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning Michael Lanier Ying Xu Nathan Jacobs Chongjie Zhang Yevgeniy Vorobeychik 26 2 0 14 Feb 2024
Decision Theory-Guided Deep Reinforcement Learning for Fast Learning Zelin Wan Jin-Hee Cho Mu Zhu Ahmed H. Anwar Charles A. Kamhoua Munindar P. Singh AI4CE 23 0 0 08 Feb 2024
Learning Uncertainty-Aware Temporally-Extended Actions Joongkyu Lee Seung Joon Park Yunhao Tang Min-hwan Oh 24 2 0 08 Feb 2024
Exploration Without Maps via Zero-Shot Out-of-Distribution Deep Reinforcement Learning Shathushan Sivashangaran Apoorva Khairnar A. Eskandarian OffRL 45 0 0 07 Feb 2024
Voronoi Candidates for Bayesian Optimization Nathan Wycoff John W. Smith Annie S. Booth R. Gramacy 39 0 0 07 Feb 2024
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences Chen Wang S. Erfani T. Alpcan Christopher Leckie OffRL 38 2 0 07 Feb 2024
Learning Diverse Policies with Soft Self-Generated Guidance Guojian Wang Faguo Wu Xiao Zhang Jianxiang Liu OffRL 31 4 0 07 Feb 2024
A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks A. Abrol Purnima Murali Mohan Tram Truong-Huu 32 1 0 07 Feb 2024
An Architecture for Unattended Containerized (Deep) Reinforcement Learning with Webots Tobias Haubold Petra Linke OffRL 13 0 0 06 Feb 2024
No-Regret Reinforcement Learning in Smooth MDPs Davide Maran Alberto Maria Metelli Matteo Papini Marcello Restell 38 4 0 06 Feb 2024
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback Yufei Wang Zhanyi Sun Jesse Zhang Zhou Xian Erdem Biyik David Held Zackory M. Erickson VLM 55 51 0 06 Feb 2024
Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences Nikhil Kumar Singh Indranil Saha OffRL 27 0 0 05 Feb 2024
Gazebo Plants: Simulating Plant-Robot Interaction with Cosserat Rods Junchen Deng Samhita Marri Jonathan Klein Wojciech Palubicki Soren Pirk Girish Chowdhary D. L. Michels 22 2 0 04 Feb 2024
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error Haoran Li Zicheng Zhang Wang Luo Congying Han Yudong Hu Tiande Guo Shichen Liao AAML 41 2 0 03 Feb 2024