OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
Neural Optimal Control using Learned System Dynamics Selim Engin Volkan Isler 85 3 0 20 Feb 2023
Leveraging Prior Knowledge in Reinforcement Learning via Double-Sided Bounds on the Value Function Jacob Adamczyk Stas Tiomkin R. Kulkarni OffRL 25 0 0 19 Feb 2023
A State Augmentation based approach to Reinforcement Learning from Human Preferences Mudit Verma Subbarao Kambhampati 50 2 0 17 Feb 2023
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 73 6 0 17 Feb 2023
Conservative State Value Estimation for Offline Reinforcement Learning Liting Chen Jie Yan Zhengdao Shao Lu Wang Qingwei Lin Saravan Rajmohan Thomas Moscibroda Dongmei Zhang OffRL 66 6 0 14 Feb 2023
Universal Agent Mixtures and the Geometry of Intelligence S. Alexander David Quarel Len Du Marcus Hutter 60 1 0 13 Feb 2023
Graph Learning Based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports Prajit K. Kumar Jhoel Witter Steve Paul Karthik Dantu Souma Chowdhury 50 3 0 12 Feb 2023
UGAE: A Novel Approach to Non-exponential Discounting Ariel Kwiatkowski Vicky Kalogeiton Julien Pettré Marie-Paule Cani OffRL 39 2 0 11 Feb 2023
Learning cooperative behaviours in adversarial multi-agent systems Ni Wang Gautham P. Das Alan G. Millard 27 0 0 10 Feb 2023
A SWAT-based Reinforcement Learning Framework for Crop Management Malvern Madondo Muneeza Azmat Kelsey L. DiPietro R. Horesh Michael Jacobs Arun Bawa Raghavan Srinivasan Fearghal O'Donncha 14 8 0 10 Feb 2023
Scaling Goal-based Exploration via Pruning Proto-goals Akhil Bagaria Ray Jiang Ramana Kumar Tom Schaul LRM 55 2 0 09 Feb 2023
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions G. Pihlgren Konstantina Nikolaidou Prakash Chandra Chhipa Nosheen Abid Rajkumar Saini Fredrik Sandin Marcus Liwicki 95 10 0 08 Feb 2023
Online Reinforcement Learning with Uncertain Episode Lengths Debmalya Mandal Goran Radanović Jiarui Gan Adish Singla R. Majumdar OffRL 70 8 0 07 Feb 2023
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy Blake E. Woodworth Konstantin Mishchenko Francis R. Bach 82 6 0 07 Feb 2023
Object-Centric Scene Representations using Active Inference Toon Van de Maele Tim Verbelen Pietro Mazzaglia Stefano Ferraro Bart Dhoedt OCL BDL 88 5 0 07 Feb 2023
Diversity Induced Environment Design via Self-Play Dexun Li Wenjun Li Pradeep Varakantham 69 0 0 04 Feb 2023
Deep Reinforcement Learning for Cyber System Defense under Dynamic Adversarial Uncertainties Ashutosh Dutta Samrat Chatterjee A. Bhattacharya M. Halappanavar 49 9 0 03 Feb 2023
DiSProD: Differentiable Symbolic Propagation of Distributions for Planning Palash Chatterjee Ashutosh Chapagain Weizhe (Wesley) Chen Roni Khardon 23 2 0 03 Feb 2023
Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning Hassam Sheikh Mariano Phielipp OffRL 64 6 0 02 Feb 2023
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling Lucas Berry David Meger 71 8 0 02 Feb 2023
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm Yihong Li Xiaoxi Zhang Tian Zeng Jingpu Duan Chuanxi Wu Di Wu Xu Chen 73 19 0 01 Feb 2023
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing Grace Zhang Ayush Jain Injune Hwang Shao-Hua Sun Joseph J. Lim 75 4 0 01 Feb 2023
Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor Julien Grand-Clément Marko Petrik 57 14 0 31 Jan 2023
Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline Reinforcement Learning Settings Sudhir Pratap Yadav R. Nagar S. Shah OffRL 59 3 0 31 Jan 2023
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments Runlong Zhou Zihan Zhang S. Du 87 12 0 31 Jan 2023
Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding Lan Tang Xiaxi Li Jinyuan Zhang Guiying Li Peng Yang Ke Tang 108 1 0 31 Jan 2023
PAC-Bayesian Soft Actor-Critic Learning Bahareh Tasdighi Abdullah Akgul Manuel Haussmann Kenny Kazimirzak Brink M. Kandemir 112 4 0 30 Jan 2023
EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation Beichen Huang Ran Cheng Zhuozhao Li Yaochu Jin Kay Chen Tan 182 28 0 29 Jan 2023
Improving Behavioural Cloning with Positive Unlabeled Learning Qiang-qiang Wang Robert McCarthy David Córdova Bulens Kevin McGuinness Noel E. O'Connor Nico Gürtler Felix Widmaier Francisco Roldan Sanchez S. Redmond OffRL OnRL 79 8 0 27 Jan 2023
Single-Trajectory Distributionally Robust Reinforcement Learning Zhipeng Liang Xiaoteng Ma Jose H. Blanchet Jiheng Zhang Zhengyuan Zhou OOD OffRL 86 12 0 27 Jan 2023
Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation Chenxi Yang Greg Anderson Swarat Chaudhuri 65 1 0 26 Jan 2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout Takuya Hiraoka Takashi Onishi Yoshimasa Tsuruoka OffRL 56 0 0 26 Jan 2023
Perceptive Locomotion with Controllable Pace and Natural Gait Transitions Over Uneven Terrains Daniel C.H. Tan Jenny Zhang Michael M. Chuah Zhibin Li 63 2 0 26 Jan 2023
Evaluating Deception and Moving Target Defense with Network Attack Simulation Daniel Reti Karina Elzer Daniel Fraunholz Daniel Schneider Hans D. Schotten AAML 46 7 0 25 Jan 2023
Deep Reinforcement Learning for Concentric Tube Robot Path Following Keshav Iyengar Sarah Spurgeon Danail Stoyanov MedIm 28 5 0 22 Jan 2023
Asynchronous Deep Double Duelling Q-Learning for Trading-Signal Execution in Limit Order Book Markets Peer Nagy Jan-Peter Calliess S. Zohren 46 3 0 20 Jan 2023
Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning Haoxuan Pan Deheng Ye Xiaoming Duan Qiang Fu Wei Yang Jianping He Mingfei Sun OffRL 65 2 0 20 Jan 2023
Multi-Agent Interplay in a Competitive Survival Environment Andrea Fanti 67 0 0 19 Jan 2023
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training Philipp Altmann Thomy Phan Fabian Ritz Thomas Gabor Claudia Linnhoff-Popien OffRL 63 1 0 18 Jan 2023
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness Ezgi Korkmaz 45 29 0 17 Jan 2023
Asynchronous training of quantum reinforcement learning Samuel Yen-Chi Chen OffRL 93 24 0 12 Jan 2023
Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models Yi Liu Gaurav Datta Ellen R. Novoseller Daniel S. Brown 104 24 0 11 Jan 2023
schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments Constantin Waubert de Puiseau Jannik Peters Christian Dörpelkus Hasan Tercan Tobias Meisen OffRL 31 8 0 10 Jan 2023
Learning to Perceive in Deep Model-Free Reinforcement Learning Gonccalo Querido Alberto Sardinha Francisco S. Melo 29 0 0 10 Jan 2023
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection Caroline Strickland Chandrika Saha Muhammad Zakar Sareh Nejad Noshin Tasnim D. Lizotte Anwar Haque 64 10 0 05 Jan 2023
Character Simulation Using Imitation Learning With Game Engine Physics Joao Rodrigues R. Nóbrega AI4CE 69 2 0 05 Jan 2023
Genetic Imitation Learning by Reward Extrapolation Boyuan Zheng Jianlong Zhou Fang Chen 71 0 0 03 Jan 2023
Explaining Imitation Learning through Frames Boyuan Zheng Jianlong Zhou Chun-Hao Liu Yiqiao Li Fang Chen 60 0 0 03 Jan 2023
A Policy Optimization Method Towards Optimal-time Stability Shengjie Wang Lan Fengb Xiang Zheng Yu-wen Cao Oluwatosin Oseni Haotian Xu Tao Zhang Yang Gao 88 1 0 02 Jan 2023
On the Challenges of using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects Sumana Basu M. Legault Adriana Romero Soriano Doina Precup OffRL 44 4 0 02 Jan 2023