OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement Learning Akash Velu Skanda Vaidyanath Dilip Arumugam OffRL 35 1 0 21 Jul 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization Zhiao Huang Litian Liang Z. Ling Xuanlin Li Chuang Gan H. Su 43 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 33 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 33 1 0 19 Jul 2023
Reproducibility in Machine Learning-Driven Research Harald Semmelrock Simone Kopeinik Dieter Theiler Tony Ross-Hellauer Dominik Kowald AI4CE 33 15 0 19 Jul 2023
LuckyMera: a Modular AI Framework for Building Hybrid NetHack Agents Luigi Quarantiello Simone Marzeddu Antonio Guzzi Vincenzo Lomonaco 29 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 40 4 0 16 Jul 2023
Probabilistic Constrained Reinforcement Learning with Formal Interpretability Yanran Wang Qiuchen Qian David E. Boyle 21 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 23 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 42 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 24 14 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 45 1 0 11 Jul 2023
Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version) Xiaotong Ji Antonio Filieri OffRL 27 1 0 10 Jul 2023
Procedurally generating rules to adapt difficulty for narrative puzzle games Thomas Vase Schultz Volden Djordje Grbic Paolo Burelli 10 1 0 07 Jul 2023
OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload Andreas Karatzas Iraklis Anagnostopoulos 21 20 0 06 Jul 2023
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation Abhijeet Pendyala Justin Dettmer Tobias Glasmachers Asma Atamna OffRL 19 6 0 06 Jul 2023
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations S. Chevtchenko Y. Bethi Teresa B Ludermir Saeed Afshar OffRL 16 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 14 1 0 04 Jul 2023
Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning Tyler Kastner Murat A. Erdogdu Amir-massoud Farahmand OffRL 34 4 0 04 Jul 2023
Comparing Reinforcement Learning and Human Learning using the Game of Hidden Rules Eric Pulick Vladimir Menkov Yonatan Dov Mintz Paul B. Kantor Vicki M. Bier OffRL 19 0 0 30 Jun 2023
Zespol: A Lightweight Environment for Training Swarming Agents Shay Snyder Kevin A. Zhu Ricardo Vega Cameron Nowzari Maryam Parsa 25 2 0 30 Jun 2023
Probabilistic Constraint for Safety-Critical Reinforcement Learning Weiqin Chen D. Subramanian Santiago Paternain 37 15 0 29 Jun 2023
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark Federico Berto Chuanbo Hua Junyoung Park Laurin Luttmann Yining Ma ... Guojie Song Changhyun Kwon Kevin Tierney Lin Xie Jinkyoo Park OffRL 34 27 0 29 Jun 2023
Learning Environment Models with Continuous Stochastic Dynamics Martin Tappler Edi Muškardin B. Aichernig Bettina Könighofer AI4CE 38 1 0 29 Jun 2023
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning Qiang He Dinesh Manocha Meng Fang S. Maghsudi 45 4 0 29 Jun 2023
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms Anthony G. Francis Claudia Pérez-DÁrpino Chengshu Li Fei Xia Alexandre Alahi ... Xuesu Xiao Peng Xu Naoki Yokoyama Alexander Toshev Roberto Martin-Martin Logical Robotics 39 69 0 29 Jun 2023
MRHER: Model-based Relay Hindsight Experience Replay for Sequential Object Manipulation Tasks with Sparse Rewards Yuming Huang Bin Ren Ziming Xu Lianghong Wu OffRL 23 0 0 28 Jun 2023
Rethinking Closed-loop Training for Autonomous Driving Chris Zhang R. Guo Wenyuan Zeng Yuwen Xiong Binbin Dai Rui Hu Mengye Ren R. Urtasun OffRL 33 30 0 27 Jun 2023
Optimizing Credit Limit Adjustments Under Adversarial Goals Using Reinforcement Learning Sherly Alfonso-Sánchez Jesus Solano Alejandro Correa-Bahnsen Kristina P. Sendova Cristián Bravo 18 7 0 27 Jun 2023
Creating Valid Adversarial Examples of Malware M. Kozák M. Jureček Mark Stamp Fabio Di Troia AAML 23 8 0 23 Jun 2023
Transferable Curricula through Difficulty Conditioned Generators Sidney Tio Pradeep Varakantham 25 4 0 22 Jun 2023
Novelty Accommodating Multi-Agent Planning in High Fidelity Simulated Open World James Chao W. Piotrowski Roni Stern Héctor J. Ortiz-Peña Mitch Manzanares Shiwali Mohan D. Lange 30 0 0 22 Jun 2023
Optimistic Active Exploration of Dynamical Systems Bhavya Sukhija Lenart Treven Cansu Sancaktar Sebastian Blaes Stelian Coros Andreas Krause 42 17 0 21 Jun 2023
AdCraft: An Advanced Reinforcement Learning Benchmark Environment for Search Engine Marketing Optimization Maziar Gomrokchi Owen Levin Jeffrey Roach Jonah White OffRL 35 1 0 21 Jun 2023
Practical First-Order Bayesian Optimization Algorithms Utkarsh Prakash Aryan Chollera Kushagra Khatwani P. K. J. Tejas Bodas 32 1 0 19 Jun 2023
SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models Shenghua Wan Yucen Wang Minghao Shao Ruying Chen De-Chuan Zhan 61 7 0 19 Jun 2023
On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search Bruno Gašperov Marko Đurasević 26 0 0 16 Jun 2023
Mimicking Better by Matching the Approximate Action Distribution Joao A. Candido Ramos Lionel Blondé Naoya Takeishi Alexandros Kalousis 48 2 0 16 Jun 2023
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control Zhehui Huang Sumeet Batra Tao Chen Rahul Krupani T. Kumar Artem Molchanov Aleksei Petrenko James A. Preiss Zhaojing Yang Gaurav Sukhatme 28 6 0 15 Jun 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni Pajarinen OffRL 35 13 0 15 Jun 2023
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control M. Malmir Josip Josifovski Noah Klarmann Alois C. Knoll 42 2 0 15 Jun 2023
Off-policy Evaluation in Doubly Inhomogeneous Environments Zeyu Bian C. Shi Zhengling Qi Lan Wang OffRL 37 4 0 14 Jun 2023
Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care Ali Shirali Alexander Schubert Ahmed Alaa OffRL 38 3 0 13 Jun 2023
Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision Processes Luca Sabbioni Francesco Corda Marcello Restelli 29 0 0 13 Jun 2023
Using Collision Momentum in Deep Reinforcement Learning Based Adversarial Pedestrian Modeling Di Chen Ekim Yurtsever Keith A. Redmill Ü. Özgüner 33 4 0 13 Jun 2023
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization Daniel Widmer Dong-oh Kang Bhavya Sukhija Jonas Hübotter Andreas Krause Stelian Coros 30 14 0 12 Jun 2023
Reinforcement Learning with Parameterized Manipulation Primitives for Robotic Assembly N. Vuong Quang Pham 32 0 0 11 Jun 2023
PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm Wensong Bai Chao Zhang Yichao Fu Lingwei Peng Hui Qian Bin Dai 32 1 0 11 Jun 2023
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning Yuhang Ran Yi-Chen Li Fuxiang Zhang Zongzhang Zhang Yang Yu OffRL 37 23 0 11 Jun 2023