OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
Deep Reinforcement Learning based Evasion Generative Adversarial Network for Botnet Detection Rizwan Hamid Randhawa N. Aslam Mohammad Alauthman Muhammad Khalid Husnain Rafiq GAN 61 26 0 06 Oct 2022
Low-Thrust Orbital Transfer using Dynamics-Agnostic Reinforcement Learning Carlos M. Casas B. Carro Antonio J. Sánchez-Esguevillas 24 2 0 06 Oct 2022
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing Bryon Tjanaka Matthew C. Fontaine David H. Lee Aniruddha Kalkar Stefanos Nikolaidis 124 10 0 06 Oct 2022
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control Jiayu Chen Tian-Shing Lan Vaneet Aggarwal BDL 110 17 0 05 Oct 2022
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo 3DV OffRL 31 0 0 03 Oct 2022
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders Per-Arne Andersen Ole-Christoffer Granmo Morten Goodwin OOD 56 0 0 03 Oct 2022
Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations Francisco Roldan Sanchez Qiang-qiang Wang David Córdova Bulens Kevin McGuinness Stephen J. Redmond Noel E. O'Connor 40 1 0 03 Oct 2022
Accelerate Reinforcement Learning with PID Controllers in the Pendulum Simulations Liping Bai 23 0 0 03 Oct 2022
WorldGen: A Large Scale Generative Simulator Chahat Deep Singh R. Kumari Cornelia Fermuller N. Sanket Yiannis Aloimonos 77 4 0 03 Oct 2022
Deep Intrinsically Motivated Exploration in Continuous Control Baturay Saglam Suleyman S. Kozat 61 4 0 01 Oct 2022
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States C. Banerjee Zhiyong Chen N. Noman 60 3 0 01 Oct 2022
Efficiently Learning Small Policies for Locomotion and Manipulation Shashank Hegde Gaurav Sukhatme 100 3 0 30 Sep 2022
Midas: A Multi-Joint Robotics Simulator with Intersection-Free Frictional Contact Yunuo Chen Minchen Li Wenlong Lu Chuyuan Fu Chenfanfu Jiang 71 4 0 30 Sep 2022
Online Weighted Q-Ensembles for Reduced Hyperparameter Tuning in Reinforcement Learning R. G. Oliveira W. Caarls OffRL 58 0 0 29 Sep 2022
Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training Gang Chen Victoria Huang OffRL 111 1 0 29 Sep 2022
MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning Junfeng Chen Fuqin Deng Yuan Gao Junjie Hu Xiyue Guo Guanqi Liang Tin Lun Lam 65 7 0 28 Sep 2022
MARLUI: Multi-Agent Reinforcement Learning for Adaptive UIs T. Langerak Sammy Christen Mert Albaba Christoph Gebhardt Otmar Hilliges OffRL 62 0 0 26 Sep 2022
Deep Reinforcement Learning for Adaptive Mesh Refinement C. Foucart A. Charous Pierre FJ Lermusiaux AI4CE 81 23 0 25 Sep 2022
Learn what matters: cross-domain imitation learning with task-relevant embeddings Tim Franzmeyer Philip Torr João F. Henriques OOD 90 22 0 24 Sep 2022
Explainable Reinforcement Learning via Model Transforms Mira Finkelstein Lucy Liu Nitsan Levy Schlot Y. Kolumbus David C. Parkes Jeffrey S. Rosenshein Sarah Keren 85 14 0 24 Sep 2022
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations Letian Chen Sravan Jayanthi Rohan R. Paleja Daniel Martin Viacheslav Zakharov Matthew C. Gombolay 131 16 0 24 Sep 2022
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning Kang Xu Yan Ma Wei Li 97 0 0 23 Sep 2022
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps Sudeep Dasari Abhi Gupta Vikash Kumar 111 43 0 22 Sep 2022
Proximal Point Imitation Learning Luca Viano Angeliki Kamoutsi Gergely Neu Igor Krawczuk Volkan Cevher 114 16 0 22 Sep 2022
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning Manuel Goulão Arlindo L. Oliveira ViT 111 6 0 22 Sep 2022
Hierarchical Decision Transformer André Rosa de Sousa Porfírio Correia L. A. Alexandre OffRL 154 11 0 21 Sep 2022
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies Haozhi Wang Qing Wang Yunfeng Shao Dong Li Jianye Hao Yinchuan Li 73 0 0 21 Sep 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 85 5 0 21 Sep 2022
Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom Johannes Betz Hongrui Zheng Zirui Zang Florian Sauerbeck Krzysztof Walas ... Madhur Behl Rosa Zheng Joydeep Biswas Venkat Krovi Rahul Mangharam 129 7 0 21 Sep 2022
DiffTune: Auto-Tuning through Auto-Differentiation Sheng Cheng Minkyung Kim Lin Song Chengyu Yang Zhuohuan Wu Shenlong Wang N. Hovakimyan 101 7 0 20 Sep 2022
Optimizing Crop Management with Reinforcement Learning and Imitation Learning Ran Tao Pan Zhao Jing Wu N. F. Martin M. Harrison C. Ferreira Z. Kalantari N. Hovakimyan OffRL 61 26 0 20 Sep 2022
Soft Action Priors: Towards Robust Policy Transfer M. Centa Philippe Preux OffRL OnRL 22 1 0 20 Sep 2022
A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret Sheelabhadra Dey Sumedh Pendurkar Guni Sharon Josiah P. Hanna 68 10 0 20 Sep 2022
Locally Constrained Representations in Reinforcement Learning Somjit Nath Rushiv Arora Samira Ebrahimi Kahou OOD OffRL 53 0 0 20 Sep 2022
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection Orel Lavie A. Shabtai Gilad Katz AAML OffRL 144 1 0 19 Sep 2022
Towards advanced robotic manipulation Francisco Roldan Sanchez Stephen J. Redmond Kevin McGuinness Noel E. O'Connor 54 1 0 19 Sep 2022
Evolutionary Deep Reinforcement Learning Using Elite Buffer: A Novel Approach Towards DRL Combined with EA in Continuous Control Tasks Marzie Esmaeeli H. Malek 66 2 0 18 Sep 2022
Value Summation: A Novel Scoring Function for MPC-based Model-based Reinforcement Learning Mehran Raisi Amirhossein Noohian Lucy McCutcheon Saber Fallah 49 3 0 16 Sep 2022
M $^2$ DQN: A Robust Method for Accelerating Deep Q-learning Network Zhe Zhang Yukun Zou Junjie Lai Qinglong Xu 27 4 0 16 Sep 2022
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes Hao Fei Hongyao Tang Jianye Hao Yan Zheng OffRL 79 1 0 16 Sep 2022
AssembleRL: Learning to Assemble Furniture from Their Point Clouds Ozgur Aslan Burak Bolat Batuhan Bal Tuugba Tumer Erol cSahin Sinan Kalkan 3DPC 65 6 0 15 Sep 2022
COOL-MC: A Comprehensive Tool for Reinforcement Learning and Model Checking Dennis Gross N. Jansen Sebastian Junges G. Pérez 71 9 0 15 Sep 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees Zichuan Liu Zichuan Liu Zhi Wang Yuanyang Zhu Chunlin Chen 243 7 0 15 Sep 2022
Using Forwards-Backwards Models to Approximate MDP Homomorphisms Augustine N. Mavor-Parker Matthew J. Sargent Christian Pehle Andrea Banino Lewis D. Griffin Caswell Barry 71 1 0 14 Sep 2022
Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting Berend Gort Xiao-Yang Liu Xinghang Sun Jiechao Gao Shuai Chen Chris Wang 115 13 0 12 Sep 2022
Instruction-driven history-aware policies for robotic manipulations Pierre-Louis Guhur Shizhe Chen Ricardo Garcia Pinel Makarand Tapaswi Ivan Laptev Cordelia Schmid LM&Ro 195 109 0 11 Sep 2022
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems Arne Gevaert Jonathan Peck Yvan Saeys 60 2 0 07 Sep 2022
Finite-Time Error Bounds for Greedy-GQ Yue Wang Yi Zhou Shaofeng Zou 108 2 0 06 Sep 2022
A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories Julian Wiederer Julian Schmidt U. Kressel Klaus C. J. Dietmayer Vasileios Belagiannis AI4TS 78 7 0 05 Sep 2022
Indoor Path Planning for Multiple Unmanned Aerial Vehicles via Curriculum Learning J. Park Kwansik Park 36 2 0 05 Sep 2022