OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 198 13 0 28 Aug 2023
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators Lucas Berry David Meger UD 84 2 0 25 Aug 2023
Conditional Kernel Imitation Learning for Continuous State Environments Rishabh Agrawal Nathan Dahlin Rahul Jain A. Nayyar 68 0 0 24 Aug 2023
An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems Ahmed Haj Yahmed Rached Bouchoucha Houssem Ben Braiek Foutse Khomh CLL AI4CE 64 0 0 23 Aug 2023
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges Ahmed Haj Yahmed Altaf Allah Abbassi Amin Nikanjam Heng Li Foutse Khomh OffRL 72 5 0 23 Aug 2023
How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy Zhenjiang Mao Carson Sobolewski I. Ruchkin 129 9 0 23 Aug 2023
DFWLayer: Differentiable Frank-Wolfe Optimization Layer Zixuan Liu Liu Liu Xueqian Wang P. Zhao AI4CE 101 0 0 21 Aug 2023
Soft Decomposed Policy-Critic: Bridging the Gap for Effective Continuous Control with Discrete RL Ye Zhang Jian Sun G. Wang Zhuoxian Li Wei Chen OffRL 39 0 0 20 Aug 2023
Safety Filter Design for Neural Network Systems via Convex Optimization Shaoru Chen K. Y. Chee Nikolai Matni M. A. Hsieh George J. Pappas 84 3 0 16 Aug 2023
Formally-Sharp DAgger for MCTS: Lower-Latency Monte Carlo Tree Search using Data Aggregation with Formal Methods Debraj Chakraborty Damien Busatto-Gaston Jean-François Raskin G. Pérez 20 1 0 15 Aug 2023
Adaptive Tracking of a Single-Rigid-Body Character in Various Environments Tae-Joung Kwon Taehong Gu Jaewon Ahn Yoonsang Lee 67 3 0 14 Aug 2023
Learning Control Policies for Variable Objectives from Offline Data Marc Weber Phillip Swazinna D. Hein Steffen Udluft V. Sterzing OffRL 74 8 0 11 Aug 2023
Generalized Early Stopping in Evolutionary Direct Policy Search Etor Arza Léni K. Le Goff E. Hart OffRL 58 3 0 07 Aug 2023
Vehicles Control: Collision Avoidance using Federated Deep Reinforcement Learning Badr Ben Elallid Amine Abouaomar N. Benamar A. Kobbane 108 6 0 04 Aug 2023
UniSim: A Neural Closed-Loop Sensor Simulator Ze Yang Yun Chen Jingkang Wang S. Manivasagam Wei-Chiu Ma A. Yang R. Urtasun 114 202 0 03 Aug 2023
qgym: A Gym for Training and Benchmarking RL-Based Quantum Compilation S. V. D. Linde Willem de Kok T. Bontekoe Sebastian Feld 78 13 0 01 Aug 2023
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization Junyi Wang Yuanyang Zhu Zhi Wang Yan Zheng Jianye Hao Chun-Han Chen OffRL 65 0 0 01 Aug 2023
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation Zhehua Zhou Jiayang Song Xuan Xie Zhan Shu Lei Ma Dikai Liu Jianxiong Yin Simon See 64 20 0 31 Jul 2023
Discovering Adaptable Symbolic Algorithms from Scratch Stephen Kelly Daniel S. Park Xingyou Song Mitchell McIntire Pranav Nashikkar ... W. Banzhaf Kalyanmoy Deb Vishnu Boddeti Jie Tan Esteban Real 74 5 0 31 Jul 2023
End-to-End Reinforcement Learning for Torque Based Variable Height Hopping Raghav Soni Daniel Harnack Hauke Isermann Sotaro Fushimi Shivesh Kumar Frank Kirchner 77 9 0 31 Jul 2023
Variance Control for Distributional Reinforcement Learning Qi Kuang Zhoufan Zhu Liwen Zhang Fan Zhou OffRL 143 3 0 30 Jul 2023
Initial State Interventions for Deconfounded Imitation Learning Samuel Pfrommer Yatong Bai Hyunin Lee Somayeh Sojoudi CML 79 2 0 29 Jul 2023
Dynamic deep-reinforcement-learning algorithm in Partially Observed Markov Decision Processes Saki Omi Hyo-Sang Shin Namhoon Cho Antonios Tsourdos 40 3 0 29 Jul 2023
trajdata: A Unified Interface to Multiple Human Trajectory Datasets Boris Ivanovic G. Song Igor Gilitschenski Marco Pavone AI4TS 73 21 0 26 Jul 2023
WebArena: A Realistic Web Environment for Building Autonomous Agents Shuyan Zhou Frank F. Xu Hao Zhu Xuhui Zhou Robert Lo ... Tianyue Ou Yonatan Bisk Daniel Fried Uri Alon Graham Neubig LLMAG 216 496 0 25 Jul 2023
MAEA: Multimodal Attribution for Embodied AI Vidhi Jain Jayant Sravan Tamarapalli Sahiti Yerramilli Yonatan Bisk 108 0 0 25 Jul 2023
Towards Sim2Real Transfer of Autonomy Algorithms using AutoDRIVE Ecosystem Chinmay Vilas Samak Tanmay Vilas Samak Venkat Krovi 87 6 0 25 Jul 2023
Policy Gradient Optimal Correlation Search for Variance Reduction in Monte Carlo simulation and Maximum Optimal Transport Pierre Bras Gilles Pagès 56 1 0 24 Jul 2023
Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation Nader Zare Aref Sayareh Omid Amini Mahtab Sarvmaili Arad Firouzkouhi Stan Matwin Amilcar Soares GP 23 1 0 22 Jul 2023
Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement Learning Akash Velu Skanda Vaidyanath Dilip Arumugam OffRL 68 1 0 21 Jul 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization Zhiao Huang Litian Liang Z. Ling Xuanlin Li Chuang Gan H. Su 110 11 0 20 Jul 2023
Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games Jonas Gillberg Joakim Bergdahl Alessandro Sestini Andy Eakins Linus Gisslén OffRL 158 7 0 19 Jul 2023
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games Martin Balla G. E. Long Dominik Jeurissen J. Goodman Raluca D. Gaina Diego Perez-Liebana LMTD OffRL OnRL 82 1 0 19 Jul 2023
Reproducibility in Machine Learning-Driven Research Harald Semmelrock Simone Kopeinik Dieter Theiler Tony Ross-Hellauer Dominik Kowald AI4CE 87 18 0 19 Jul 2023
LuckyMera: a Modular AI Framework for Building Hybrid NetHack Agents Luigi Quarantiello Simone Marzeddu Antonio Guzzi Vincenzo Lomonaco 46 0 0 17 Jul 2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning Hongyu Ding Yuan-Yan Tang Qing Wu Bo Wang Chunlin Chen Zhi Wang 125 5 0 16 Jul 2023
Probabilistic Constrained Reinforcement Learning with Formal Interpretability Yanran Wang Qiuchen Qian David E. Boyle 60 4 0 13 Jul 2023
Bag of Views: An Appearance-based Approach to Next-Best-View Planning for 3D Reconstruction Sara Hatami Gazani Matthew Tucsok I. Mantegh Homayoun Najjaran 53 4 0 11 Jul 2023
Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores Shukai Liu Chenming Wu Ying Li Liang Zhang 77 0 0 11 Jul 2023
Pegasus Simulator: An Isaac Sim Framework for Multiple Aerial Vehicles Simulation Marcelo Jacinto Joao Pinto Jay Patrikar John Keller R. Cunha Sebastian Scherer A. Pascoal 69 16 0 11 Jul 2023
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning Guy Azran Mohamad H. Danesh Stefano V. Albrecht Sarah Keren AI4CE 130 2 0 11 Jul 2023
Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version) Xiaotong Ji Antonio Filieri OffRL 96 1 0 10 Jul 2023
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning S. E. Ada Erhan Öztop Emre Ugur OffRL 155 23 0 10 Jul 2023
Procedurally generating rules to adapt difficulty for narrative puzzle games Thomas Vase Schultz Volden Djordje Grbic Paolo Burelli 33 1 0 07 Jul 2023
OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload Andreas Karatzas Iraklis Anagnostopoulos 62 22 0 06 Jul 2023
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation Abhijeet Pendyala Justin Dettmer Tobias Glasmachers Asma Atamna OffRL 46 6 0 06 Jul 2023
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations Sergio Chevtchenko Y. Bethi Teresa B Ludermir Saeed Afshar OffRL 62 1 0 06 Jul 2023
Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning C. Bellinger Mark Crowley Isaac Tamblyn 22 3 0 05 Jul 2023
Hierarchical Planning and Policy Shaping Shared Autonomy for Articulated Robots E. Yousefi Mo Chen I. Sharf 42 1 0 04 Jul 2023
Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning Tyler Kastner Murat A. Erdogdu Amir-massoud Farahmand OffRL 98 4 0 04 Jul 2023