OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation Alex J. Chan Ioana Bica Alihan Huyuk Daniel Jarrett M. Schaar 88 14 0 08 Jun 2021
Amortized Generation of Sequential Algorithmic Recourses for Black-box Models Sahil Verma Keegan E. Hines John P. Dickerson 94 24 0 07 Jun 2021
3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc Hadi Salman Andrew Ilyas Sai H. Vemprala Logan Engstrom ... Pengchuan Zhang Shibani Santurkar Greg Yang Ashish Kapoor Aleksander Madry 120 42 0 07 Jun 2021
Average-Reward Reinforcement Learning with Trust Region Methods Xiaoteng Ma Xiao-Jing Tang Li Xia Jun Yang Qianchuan Zhao 61 18 0 07 Jun 2021
Efficient Continuous Control with Double Actors and Regularized Critics Jiafei Lyu Xiaoteng Ma Jiangpeng Yan Xiu Li OffRL 47 50 0 06 Jun 2021
Same State, Different Task: Continual Reinforcement Learning without Interference Samuel Kessler Jack Parker-Holder Philip J. Ball S. Zohren Stephen J. Roberts CLL OffRL 91 47 0 05 Jun 2021
Lifetime policy reuse and the importance of task capacity David M. Bossens Adam Sobey CLL OffRL 71 3 0 03 Jun 2021
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning Jongwook Choi Archit Sharma Honglak Lee Sergey Levine S. Gu DRL 67 21 0 02 Jun 2021
Deep Reinforcement Learning-based UAV Navigation and Control: A Soft Actor-Critic with Hindsight Experience Replay Approach Myoung-Hoon Lee Jun Moon 40 8 0 02 Jun 2021
What Matters for Adversarial Imitation Learning? Manu Orsini Anton Raichuk Léonard Hussenot Damien Vincent Robert Dadashi Sertan Girgin Matthieu Geist Olivier Bachem Olivier Pietquin Marcin Andrychowicz 126 78 0 01 Jun 2021
Did I do that? Blame as a means to identify controlled effects in reinforcement learning Oriol Corcoll Youssef Mohamed Raul Vicente 60 3 0 01 Jun 2021
AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning Maayan Shvo Zhiming Hu Rodrigo Toro Icarte Iqbal Mohomed A. Jepson Sheila A. McIlraith 92 14 0 31 May 2021
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation Stephen James Andrew J. Davison 87 129 0 31 May 2021
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning Matthias Muller-Brockhausen Mike Preuss Aske Plaat 66 9 0 31 May 2021
Shaped Policy Search for Evolutionary Strategies using Waypoints Kiran Lekkala Laurent Itti 32 1 0 30 May 2021
Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture Chin-Jui Chang Yu-Wei Chu Chao-Hsien Ting Hao-Kang Liu Zhang-Wei Hong Chun-Yi Lee AI4CE 36 1 0 30 May 2021
Gradient-Free Neural Network Training via Synaptic-Level Reinforcement Learning Aman Bhargava Mohammadreza Rezaei M. Lankarany 35 5 0 29 May 2021
Towards a Very Large Scale Traffic Simulator for Multi-Agent Reinforcement Learning Testbeds Zijian Hu Chengxiang Zhuge Wei-Ying Ma AI4CE 20 6 0 28 May 2021
Hyperparameter Selection for Imitation Learning Léonard Hussenot Marcin Andrychowicz Damien Vincent Robert Dadashi Anton Raichuk ... Sabela Ramos Manu Orsini Olivier Bachem Matthieu Geist Olivier Pietquin 115 18 0 25 May 2021
Affine Transport for Sim-to-Real Domain Adaptation Anton Mallasto Karol Arndt Markus Heinonen Samuel Kaski Ville Kyrki 51 4 0 25 May 2021
Ankle Joints Are Beneficial When Optimizing Supported Real-world Bipedal Robot Gaits Hilmar Elverhoy Steinar Boe V. Søyseth T. Nygaard 30 1 0 22 May 2021
Cross-domain Imitation from Observations Dripta S. Raychaudhuri S. Paul J. Baar Amit K. Roy-Chowdhury OOD 82 45 0 20 May 2021
A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning Yongfeng Li Mingming Zhao Weijie Chen Zaiwen Wen 50 5 0 20 May 2021
Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning Maximilian Schenke Oliver Wallscheid OffRL 34 5 0 19 May 2021
Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization Jing-Cheng Pang Tian Xu Shengyi Jiang Yu-Ren Liu Yang Yu 74 1 0 18 May 2021
DACBench: A Benchmark Library for Dynamic Algorithm Configuration Theresa Eimer André Biedenkapp Maximilian V Reimer Steven Adriaensen Frank Hutter Marius Lindauer 86 29 0 18 May 2021
Reinforcement Learning for Adaptive Video Compressive Sensing Sidi Lu Xin Yuan Aggelos K. Katsaggelos Weisong Shi 34 3 0 18 May 2021
Make Bipedal Robots Learn How to Imitate Vishal Kumar Sinnu Susan Thomas 72 0 0 15 May 2021
Feature-Based Interpretable Reinforcement Learning based on State-Transition Models Omid Davoodi Majid Komeili FAtt OffRL 61 6 0 14 May 2021
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet Xintong Yang Ze Ji Jing Wu Yu-kun Lai 58 15 0 12 May 2021
Value Iteration in Continuous Actions, States and Time M. Lutter Shie Mannor Jan Peters Dieter Fox Animesh Garg 52 37 0 10 May 2021
Deeply-Debiased Off-Policy Interval Estimation C. Shi Runzhe Wan Victor Chernozhukov R. Song OffRL 61 38 0 10 May 2021
Generative Actor-Critic: An Off-policy Algorithm Using the Push-forward Model Lingwei Peng Hui Qian Zhebang Shen Chao Zhang Fei Li 68 2 0 08 May 2021
Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics Yuan Pu Shaochen Wang Xin Yao Bin Li 40 1 0 07 May 2021
UVIP: Model-Free Approach to Evaluate Reinforcement Learning Algorithms Denis Belomestny I. Levin Eric Moulines A. Naumov S. Samsonov V. Zorina OffRL 46 0 0 05 May 2021
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning Marc Aurel Vischer R. T. Lange Henning Sprekeler OOD UQCV OffRL 91 25 0 04 May 2021
Robotic Surgery With Lean Reinforcement Learning Yotam Barnoy Molly O'Brien Wenjie Wang Gregory D. Hager OffRL 74 21 0 03 May 2021
Ensemble Feature Extraction for Multi-Container Quality-Diversity Algorithms L. Cazenille 73 9 0 03 May 2021
Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized Intersection Using Deep Q-Network Kasra Mokhtari Alan R. Wagner 38 6 0 01 May 2021
On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery Learning Diego Ferigo Raffaello Camoriano Paolo Maria Viceconte Daniele Calandriello Silvio Traversaro Lorenzo Rosasco Daniele Pucci 60 15 0 29 Apr 2021
A Reinforcement Learning Environment for Polyhedral Optimizations Alexander Brauckmann Andrés Goens J. Castrillón 47 7 0 28 Apr 2021
Continual Learning Approach for Improving the Data and Computation Mapping in Near-Memory Processing System Pritam Majumder Jiayi Huang Sungkeun Kim A. Muzahid Dylan Siegers Chia-Che Tsai Eun Jung Kim 117 1 0 28 Apr 2021
Implementing Reinforcement Learning Algorithms in Retail Supply Chains with OpenAI Gym Toolkit Shaun C. D'Souza OffRL 14 2 0 27 Apr 2021
Reinforcement Learning using Guided Observability Stephan Weigand Pascal Klink Jan Peters Joni Pajarinen OffRL 31 4 0 22 Apr 2021
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees Aaron M. Roth Jing Liang Tianyi Zhou 87 8 0 22 Apr 2021
Network Defense is Not a Game Andres Molina-Markham Ransom K. Winder Ahmad Ridley AAML 40 14 0 20 Apr 2021
GDDR: GNN-based Data-Driven Routing Oliver Hope Eiko Yoneki GNN 42 24 0 20 Apr 2021
Model-predictive control and reinforcement learning in multi-energy system case studies Glenn Ceusters Román Cantú Rodríguez A. García R. Franke Geert Deconinck L. Helsen Ann Nowé M. Messagie L. R. Camargo 55 90 0 20 Apr 2021
Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning Jie Ren Yewen Li Zihan Ding Wei Pan Hao Dong BDL MoE 52 26 0 19 Apr 2021
Low-rank State-action Value-function Approximation Sergio Rozada Victor M. Tenorio A. Marques OffRL 79 9 0 18 Apr 2021