OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
MADRaS : Multi Agent Driving Simulator Anirban Santara S. Rudra Sree Aditya Buridi Meha Kaushik A. Naik Bharat Kaul Balaraman Ravindran 36 30 0 02 Oct 2020
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control Rel Guzman Rafael Oliveira F. Ramos 29 15 0 01 Oct 2020
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices Vu-Linh Nguyen S. B. Orbell D. Lennon H. Moon F. Vigneau ... D. Zumbuhl G. Briggs Michael A. Osborne D. Sejdinovic N. Ares 30 39 0 30 Sep 2020
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning Haotian Fu Hongyao Tang Jianye Hao Chong Chen Xidong Feng Dong Li Wulong Liu OffRL 37 51 0 29 Sep 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 35 43 0 28 Sep 2020
A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn Anjukan Kathirgamanathan Kacper Twardowski E. Mangina D. Finn 6 21 0 22 Sep 2020
GRAC: Self-Guided and Self-Regularized Actor-Critic Lin Shao Yifan You Mengyuan Yan Qingyun Sun Jeannette Bohg 29 23 0 18 Sep 2020
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents Nicola Milano S. Nolfi 21 0 0 15 Sep 2020
COVID-19 Pandemic Cyclic Lockdown Optimization Using Reinforcement Learning M. Arango Lyudmil Pelov 22 16 0 10 Sep 2020
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning Sheng-Chun Kao Geonhwa Jeong T. Krishna 28 95 0 04 Sep 2020
learn2learn: A Library for Meta-Learning Research Sébastien M. R. Arnold Praateek Mahajan Debajyoti Datta Ian Bunner Konstantinos Saitas Zarkias 34 95 0 27 Aug 2020
CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices Parth Mannan A. Samajdar T. Krishna 31 2 0 27 Aug 2020
Constrained Markov Decision Processes via Backward Value Functions Harsh Satija Philip Amortila Joelle Pineau 46 51 0 26 Aug 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha Matthew O'Kelly Russ Tedrake John C. Duchi 50 48 0 24 Aug 2020
Adaptive and Multiple Time-scale Eligibility Traces for Online Deep Reinforcement Learning Taisuke Kobayashi OffRL 18 7 0 23 Aug 2020
Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learning Kehua Chen Hongcheng Wang Borja Valverde Perez Siyuan Zhai L. Vezzaro Aijie Wang 13 0 0 19 Aug 2020
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer H. Bassani R. A. Delgado J. N. D. O. L. Junior H. R. Medeiros Pedro H. M. Braga Mateus G. Machado L. H. C. Santos Alain Tapp 10 9 0 18 Aug 2020
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics Oliver Limoyo Bryan Chan Filip Marić Brandon Wagstaff Rupam Mahmood Jonathan Kelly 35 8 0 18 Aug 2020
Reducing Sampling Error in Batch Temporal Difference Learning Brahma S. Pavse Ishan Durugkar Josiah P. Hanna Peter Stone OffRL 22 12 0 15 Aug 2020
Sample-efficient Cross-Entropy Method for Real-time Planning Cristina Pinneri Shambhuraj Sawant Sebastian Blaes Jan Achterhold Joerg Stueckler Michal Rolínek Georg Martius 37 98 0 14 Aug 2020
OR-Gym: A Reinforcement Learning Library for Operations Research Problems Christian D. Hubbs Hector D. Perez Owais Sarwar N. Sahinidis I. Grossmann J. Wassick OffRL AI4CE 27 74 0 14 Aug 2020
Learning Event-triggered Control from Data through Joint Optimization Niklas Funk Dominik Baumann V. Berenz Sebastian Trimpe 18 17 0 11 Aug 2020
TriFinger: An Open-Source Robot for Learning Dexterity Manuel Wüthrich Felix Widmaier F. Grimminger J. Akpo S. Joshi ... Julian Viereck M. Naveau Ludovic Righetti Bernhard Schölkopf Stefan Bauer 29 72 0 08 Aug 2020
Assisted Perception: Optimizing Observations to Communicate State S. Reddy Sergey Levine Anca Dragan 27 15 0 06 Aug 2020
BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots Ben Talbot David Hall Haoyang Zhang S. Bista Rohan Smith Feras Dayoub Niko Sünderhauf 31 15 0 03 Aug 2020
Towards Deep Robot Learning with Optimizer applicable to Non-stationary Problems Taisuke Kobayashi ODL 20 9 0 31 Jul 2020
Data-efficient Hindsight Off-policy Option Learning Markus Wulfmeier Dushyant Rao Roland Hafner Thomas Lampe A. Abdolmaleki ... Michael Neunert Dhruva Tirumala Noah Y. Siegel N. Heess Martin Riedmiller OffRL 31 47 0 30 Jul 2020
Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning L. Hertel Pierre Baldi D. Gillen BDL 31 12 0 29 Jul 2020
Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation Lin Cong Michael Görner Philipp Ruppel Hongzhuo Liang Norman Hendrich Jianwei Zhang 27 14 0 27 Jul 2020
Weak Human Preference Supervision For Deep Reinforcement Learning Zehong Cao Kaichiu Wong Chin-Teng Lin 25 5 0 25 Jul 2020
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies Shengpu Tang Aditya Modi Michael Sjoding Jenna Wiens OffRL 22 25 0 24 Jul 2020
Maximum Mutation Reinforcement Learning for Scalable Control Karush Suri Xiaolong Shi Konstantinos N. Plataniotis Y. Lawryshyn 25 4 0 24 Jul 2020
A Hierarchical Approach to Scaling Batch Active Search Over Structured Data Vivek Myers Peyton Greenside 36 1 0 20 Jul 2020
Multi-robot Cooperative Object Transportation using Decentralized Deep Reinforcement Learning Lin Zhang Hao Xiong Ou Ma Zhaokui Wang 17 6 0 17 Jul 2020
Efficient Empowerment Estimation for Unsupervised Stabilization Ruihan Zhao Kevin Lu Pieter Abbeel Stas Tiomkin 32 8 0 14 Jul 2020
Explore and Explain: Self-supervised Navigation and Recounting Roberto Bigazzi Federico Landi Marcella Cornia S. Cascianelli Lorenzo Baraldi Rita Cucchiara EgoV LM&Ro 29 17 0 14 Jul 2020
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training Kai Liang Tan Yasaman Esfandiari Xian Yeow Lee Aakanksha Soumik Sarkar AAML 26 55 0 14 Jul 2020
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation Chuang Gan Jeremy Schwartz S. Alter Damian Mrowca Martin Schrimpf ... Antonio Torralba J. DiCarlo J. Tenenbaum Josh H. McDermott Daniel L. K. Yamins VGen 58 305 0 09 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 25 199 0 09 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate Mirco Mutti Lorenzo Pratissoli Marcello Restelli 11 19 0 09 Jul 2020
Adaptive Regret for Control of Time-Varying Dynamics Paula Gradu Elad Hazan Edgar Minasyan 43 47 0 08 Jul 2020
Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams A. Deka Katia Sycara AAML 31 32 0 06 Jul 2020
robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots M. Lucchi Friedemann Zindler Stephan Mühlbacher-Karrer Horst Pichler OffRL 30 29 0 06 Jul 2020
Group Equivariant Deep Reinforcement Learning Arnab Kumar Mondal Pratheeksha Nair Kaleem Siddiqi 19 31 0 01 Jul 2020
Enforcing Almost-Sure Reachability in POMDPs Sebastian Junges N. Jansen S. Seshia 30 26 0 30 Jun 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning Elise van der Pol Daniel E. Worrall H. V. Hoof F. Oliehoek Max Welling BDL AI4CE 31 156 0 30 Jun 2020
AvE: Assistance via Empowerment Yuqing Du Stas Tiomkin Emre Kıcıman Daniel Polani Pieter Abbeel Anca Dragan 41 35 0 26 Jun 2020
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms Shengyi Huang Santiago Ontañón 35 310 0 25 Jun 2020
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning Lingheng Meng R. Gorbet Dana Kulic OffRL 30 27 0 23 Jun 2020
Safe Reinforcement Learning via Curriculum Induction M. Turchetta Andrey Kolobov S. Shah Andreas Krause Alekh Agarwal 23 91 0 22 Jun 2020