OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
Performance-Weighed Policy Sampling for Meta-Reinforcement Learning Ibrahim Ahmed Marcos Quiñones-Grueiro G. Biswas 47 2 0 10 Dec 2020
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation Chenyang Zhao Timothy M. Hospedales OOD 49 16 0 09 Dec 2020
Emergence of Different Modes of Tool Use in a Reaching and Dragging Task K. Nguyen Yoonsuck Choe 21 0 0 08 Dec 2020
Resolving Implicit Coordination in Multi-Agent Deep Reinforcement Learning with Deep Q-Networks & Game Theory Griffin Adams Sarguna Padmanabhan S. Shekhar 39 1 0 08 Dec 2020
MAP-Elites enables Powerful Stepping Stones and Diversity for Modular Robotics Jørgen Nordmoen Frank Veenstra K. Ellefsen K. Glette 40 34 0 08 Dec 2020
Proximal Policy Optimization Smoothed Algorithm Wangshu Zhu A. Rosendo 37 2 0 04 Dec 2020
Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning? Matthias Rosynski Frank Kirchner Matias Valdenegro-Toro FAtt 52 13 0 02 Dec 2020
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms Aaron J. Snoswell Surya P. N. Singh N. Ye OOD 22 13 0 01 Dec 2020
Assessing and Accelerating Coverage in Deep Reinforcement Learning Arpan Kusari 23 2 0 01 Dec 2020
IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates Tatiana Lopez-Guevara Michael G. Burke Nick K. Taylor Kartic Subr OffRL 53 0 0 30 Nov 2020
UniCon: Universal Neural Controller For Physics-based Character Motion Tingwu Wang Yunrong Guo Maria Shugrina Sanja Fidler 80 55 0 30 Nov 2020
Optimizing the Neural Architecture of Reinforcement Learning Agents Nina Mazyavkina S. Moustafa I. Trofimov Evgeny Burnaev AI4CE 78 4 0 30 Nov 2020
Applied Machine Learning for Games: A Graduate School Course Yilei Zeng Aayush Shah Jameson Thai M. Zyda AI4CE 69 3 0 30 Nov 2020
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp Junfan Lin Zhongzhan Huang Keze Wang Xiaodan Liang Weiwei Chen Liang Lin 30 11 0 30 Nov 2020
Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems Yichen Zhang F. Qiu Tianqi Hong Zhaoyu Wang F. Li 23 26 0 29 Nov 2020
A survey of benchmarking frameworks for reinforcement learning B. Stapelberg K. Malan OffRL 46 3 0 27 Nov 2020
Learning from Simulation, Racing in Reality Eugenio Chisari Alexander Liniger Alisa Rupenyan Luc Van Gool John Lygeros 83 25 0 26 Nov 2020
Reinforcement Learning for Robust Missile Autopilot Design Bernardo Cortez 20 2 0 26 Nov 2020
C-Learning: Horizon-Aware Cumulative Accessibility Estimation Panteha Naderian Gabriel Loaiza-Ganem H. Braviner Anthony L. Caterini Jesse C. Cresswell Tong Li Animesh Garg 80 1 0 24 Nov 2020
Solving The Lunar Lander Problem under Uncertainty using Reinforcement Learning Soham Gadgil Yunfeng Xin Chengzhe Xu 27 12 0 24 Nov 2020
An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer Carlos H. C. Pena Mateus G. Machado M. S. Barros José D. P. Silva Lucas D. Maciel Ing Ren Tsang Edna N. S. Barros Pedro H. M. Braga H. Bassani 57 2 0 23 Nov 2020
Generative Adversarial Simulator Jonathan Raiman GAN 19 0 0 23 Nov 2020
Double Meta-Learning for Data Efficient Policy Optimization in Non-Stationary Environments Elahe Aghapour Nora Ayanian OffRL 42 4 0 21 Nov 2020
Inverse Constrained Reinforcement Learning Usman Anwar Shehryar Malik Alireza Aghasi Ali Ahmed 103 59 0 19 Nov 2020
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance Xiao-Yang Liu Hongyang Yang Qian Chen Runjia Zhang Liuqing Yang Bowen Xiao Chris Wang AIFin OffRL 88 127 0 19 Nov 2020
SAFARI: Safe and Active Robot Imitation Learning with Imagination Norman Di Palo Edward Johns 74 8 0 18 Nov 2020
Weighted Entropy Modification for Soft Actor-Critic Yizhou Zhao Song-Chun Zhu 35 1 0 18 Nov 2020
An analytical diabolo model for robotic learning and control Felix von Drigalski D. Joshi Takayuki Murooka Kazutoshi Tanaka Masashi Hamaya Yoshihisa Ijiri 60 7 0 18 Nov 2020
A User's Guide to Calibrating Robotics Simulators Bhairav Mehta Ankur Handa Dieter Fox F. Ramos 55 12 0 17 Nov 2020
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization Sreejith Balakrishnan Q. Nguyen Bryan Kian Hsiang Low Harold Soh 85 26 0 17 Nov 2020
NLPGym -- A toolkit for evaluating RL agents on Natural Language Processing Tasks Rajkumar Ramamurthy R. Sifa Christian Bauckhage 54 5 0 16 Nov 2020
Hierarchical clustering in particle physics through reinforcement learning Johann Brehmer S. Macaluso D. Pappadopulo Kyle Cranmer 39 6 0 16 Nov 2020
Blind Decision Making: Reinforcement Learning with Delayed Observations Mridul Agarwal Vaneet Aggarwal OffRL 39 23 0 16 Nov 2020
Stein Variational Model Predictive Control Alexander Lambert Adam Fishman Dieter Fox Byron Boots F. Ramos 110 62 0 15 Nov 2020
CDT: Cascading Decision Trees for Explainable Reinforcement Learning Zihan Ding Pablo Hernandez-Leal G. Ding Changjian Li Ruitong Huang 65 22 0 15 Nov 2020
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking Fabio Pardo OffRL 60 31 0 15 Nov 2020
Convex Optimization with an Interpolation-based Projection and its Application to Deep Learning R. Akrour Asma Atamna Jan Peters 19 3 0 13 Nov 2020
Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee Minghao Han Yuan Tian Lixian Zhang Jun Wang Wei Pan 68 49 0 13 Nov 2020
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning Jiajun Fan He Ba Xian Guo Jianye Hao OffRL 49 5 0 13 Nov 2020
Steady State Analysis of Episodic Reinforcement Learning Bojun Huang OffRL 54 23 0 12 Nov 2020
Learning Latent Representations to Influence Multi-Agent Interaction Annie Xie Dylan P. Losey R. Tolsma Chelsea Finn Dorsa Sadigh DRL 192 134 0 12 Nov 2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction Karl Schmeckpeper Oleh Rybkin Kostas Daniilidis Sergey Levine Chelsea Finn OffRL 111 107 0 12 Nov 2020
Joint Space Control via Deep Reinforcement Learning Visak C. V. Kumar David Hoeller Balakumar Sundaralingam Jonathan Tremblay Stan Birchfield DRL 85 16 0 12 Nov 2020
I Know What You Meant: Learning Human Objectives by (Under)estimating Their Choice Set Ananth Jonnavittula Dylan P. Losey 86 16 0 11 Nov 2020
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers Antoine Prouvost Justin Dumouchelle Lara Scavuzzo Maxime Gasse Didier Chételat Andrea Lodi OffRL 106 50 0 11 Nov 2020
Accounting for Human Learning when Inferring Human Preferences Harry Giles Lawrence Chan OffRL 12 0 0 11 Nov 2020
What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes Herman Yau Chris Russell Simon Hadfield FAtt LRM 58 38 0 10 Nov 2020
Model-based Reinforcement Learning from Signal Temporal Logic Specifications Parv Kapoor Anand Balakrishnan Jyotirmoy V. Deshmukh 74 21 0 10 Nov 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching Tianwei Ni Harshit S. Sikchi Yufei Wang Tejus Gupta Lisa Lee Benjamin Eysenbach 93 73 0 09 Nov 2020
Deep reinforcement learning for RAN optimization and control Yu Chen Jie Chen G. Krishnamurthi Huijing Yang Huahui Wang Wenjie Zhao 39 1 0 09 Nov 2020