OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,673 papers shown

Title
Learning to Backdoor Federated Learning Henger Li Chen Wu Senchun Zhu Zizhan Zheng FedML 36 10 0 06 Mar 2023
Ensemble Reinforcement Learning: A Survey Yanjie Song Ponnuthurai Nagaratnam Suganthan Witold Pedrycz Junwei Ou Yongming He Y. Chen Yutong Wu OffRL 59 38 0 05 Mar 2023
Demonstration-guided Deep Reinforcement Learning for Coordinated Ramp Metering and Perimeter Control in Large Scale Networks Zijian Hu Wei-Ying Ma 27 5 0 04 Mar 2023
CoRL: Environment Creation and Management Focused on System Integration J. D. Merrick Benjamin K. Heiner Cameron Long Brian Stieber Steve Fierro Vardaan Gangal Madison Blake Joshua Blackburn AI4CE 30 2 0 03 Mar 2023
Synthetic Data Generator for Adaptive Interventions in Global Health Aditya Rastogi J. F. Garamendi Ana Fernández del Río Anna Guitart Moiz Hassan Khan Dexian Tang África Periánez 42 0 0 03 Mar 2023
Dynamic Competency Self-Assessment for Autonomous Agents Nicholas Conlon Nisar R. Ahmed D. Szafir 34 3 0 03 Mar 2023
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting Hongyao Tang Hao Fei Jianye Hao 28 1 0 02 Mar 2023
Reinforced Labels: Multi-Agent Deep Reinforcement Learning for Point-Feature Label Placement Petr Bobák Ladislav Čmolík Martin Cadík OffRL 40 3 0 02 Mar 2023
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms Anirudh Vemula Yuda Song Aarti Singh J. Andrew Bagnell Sanjiban Choudhury OffRL 46 13 0 01 Mar 2023
Policy Dispersion in Non-Markovian Environment B. Qu Xiaofeng Cao Jielong Yang Hechang Chen Chang Yi Ivor W.Tsang Yew-Soon Ong 27 0 0 28 Feb 2023
Taylor TD-learning Michele Garibbo Maxime Robeyns Laurence Aitchison OffRL 23 1 0 27 Feb 2023
CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems Sagar Patel Sangeetha Abdu Jyothi Nina Narodytska OffRL 27 0 0 27 Feb 2023
High-Precise Robot Arm Manipulation based on Online Iterative Learning and Forward Simulation with Positioning Error Below End-Effector Physical Minimum Displacement Weiming Qu Tianlin Liu D. Luo 26 2 0 26 Feb 2023
Q-Cogni: An Integrated Causal Reinforcement Learning Framework C. Cunha Wen Liu T. French Ajmal Mian 38 1 0 26 Feb 2023
DeepCPG Policies for Robot Locomotion Aditya M. Deshpande Eric Hurd A. Minai Manish Kumar 29 9 0 25 Feb 2023
Autonomous Exploration and Mapping for Mobile Robots via Cumulative Curriculum Reinforcement Learning Zehan Li Jinghao Xin Ning Li 31 4 0 25 Feb 2023
EvoTorch: Scalable Evolutionary Computation in Python N. E. Toklu Timothy James Atkinson Vojtvech Micka Paweł Liskowski R. Srivastava 22 12 0 24 Feb 2023
Why Target Networks Stabilise Temporal Difference Methods Matt Fellows Matthew Smith Shimon Whiteson OOD AAML 21 7 0 24 Feb 2023
Improving Deep Policy Gradients with Value Function Search Enrico Marchesini Chris Amato 31 9 0 20 Feb 2023
Neural Optimal Control using Learned System Dynamics Selim Engin Volkan Isler 26 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 22 0 0 19 Feb 2023
A State Augmentation based approach to Reinforcement Learning from Human Preferences Mudit Verma Subbarao Kambhampati 35 2 0 17 Feb 2023
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 34 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 26 6 0 14 Feb 2023
Universal Agent Mixtures and the Geometry of Intelligence S. Alexander David Quarel Len Du Marcus Hutter 23 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 27 3 0 12 Feb 2023
UGAE: A Novel Approach to Non-exponential Discounting Ariel Kwiatkowski Vicky Kalogeiton Julien Pettré Marie-Paule Cani OffRL 30 2 0 11 Feb 2023
Learning cooperative behaviours in adversarial multi-agent systems Ni Wang Gautham P. Das Alan G. Millard 21 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 11 8 0 10 Feb 2023
Scaling Goal-based Exploration via Pruning Proto-goals Akhil Bagaria Ray Jiang Ramana Kumar Tom Schaul LRM 16 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 29 10 0 08 Feb 2023
Online Reinforcement Learning with Uncertain Episode Lengths Debmalya Mandal Goran Radanović Jiarui Gan Adish Singla R. Majumdar OffRL 38 5 0 07 Feb 2023
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy Blake E. Woodworth Konstantin Mishchenko Francis R. Bach 47 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 48 5 0 07 Feb 2023
Diversity Induced Environment Design via Self-Play Dexun Li Wenjun Li Pradeep Varakantham 29 0 0 04 Feb 2023
Deep Reinforcement Learning for Cyber System Defense under Dynamic Adversarial Uncertainties Ashutosh Dutta Samrat Chatterjee A. Bhattacharya M. Halappanavar 32 8 0 03 Feb 2023
DiSProD: Differentiable Symbolic Propagation of Distributions for Planning Palash Chatterjee Ashutosh Chapagain Weizhe (Wesley) Chen Roni Khardon 21 1 0 03 Feb 2023
Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning Hassam Sheikh Mariano Phielipp OffRL 24 6 0 02 Feb 2023
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling Lucas Berry David Meger 26 7 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 34 16 0 01 Feb 2023
Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor Julien Grand-Clément Marko Petrik 35 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 29 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 49 10 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 18 0 0 31 Jan 2023
PAC-Bayesian Soft Actor-Critic Learning Bahareh Tasdighi Abdullah Akgul Manuel Haussmann Kenny Kazimirzak Brink M. Kandemir 41 3 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 18 26 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 36 8 0 27 Jan 2023
Single-Trajectory Distributionally Robust Reinforcement Learning Zhipeng Liang Xiaoteng Ma Jose H. Blanchet Jiheng Zhang Zhengyuan Zhou OOD OffRL 39 11 0 27 Jan 2023
Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation Chenxi Yang Greg Anderson Swarat Chaudhuri 37 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 29 0 0 26 Jan 2023