OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,657 papers shown

Title
Towards Practical Credit Assignment for Deep Reinforcement Learning Vyacheslav Alipov Riley Simmons-Edler N.Yu. Putintsev Pavel Kalinin Dmitry Vetrov OffRL 35 11 0 08 Jun 2021
Exploration and preference satisfaction trade-off in reward-free learning Noor Sajid P. Tigas Alexey Zakharov Zafeirios Fountas Karl J. Friston 27 20 0 08 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 40 40 0 07 Jun 2021
Average-Reward Reinforcement Learning with Trust Region Methods Xiaoteng Ma Xiao-Jing Tang Li Xia Jun Yang Qianchuan Zhao 24 16 0 07 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 21 46 0 05 Jun 2021
What Matters for Adversarial Imitation Learning? Manu Orsini Anton Raichuk Léonard Hussenot Damien Vincent Robert Dadashi Sertan Girgin M. Geist Olivier Bachem Olivier Pietquin Marcin Andrychowicz 55 77 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 24 3 0 01 Jun 2021
Make Bipedal Robots Learn How to Imitate Vishal Kumar Sinnu Susan Thomas 20 0 0 15 May 2021
Deeply-Debiased Off-Policy Interval Estimation C. Shi Runzhe Wan Victor Chernozhukov R. Song OffRL 30 36 0 10 May 2021
Robotic Surgery With Lean Reinforcement Learning Yotam Barnoy Molly O'Brien Wenjie Wang Gregory D. Hager OffRL 46 20 0 03 May 2021
Ensemble Feature Extraction for Multi-Container Quality-Diversity Algorithms L. Cazenille 32 9 0 03 May 2021
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees Aaron M. Roth Jing Liang Tianyi Zhou 52 8 0 22 Apr 2021
Low-rank State-action Value-function Approximation Sergio Rozada Victor M. Tenorio A. Marques OffRL 34 9 0 18 Apr 2021
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles Ionel Gog Sukrit Kalra Peter Schafhalter Matthew A. Wright Joseph E. Gonzalez Ion Stoica 35 69 0 16 Apr 2021
CropGym: a Reinforcement Learning Environment for Crop Management H. Overweg H. Berghuijs Ioannis Athanasiadis OffRL 12 34 0 09 Apr 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems Philippe Hansen-Estruch Wenling Shang Lerrel Pinto Pieter Abbeel Stas Tiomkin AI4CE 38 2 0 07 Apr 2021
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control Arthur Muller Vishal S. Rangras Georg Schnittker Michael Waldmann Maxim Friesen Tobias Ferfers Lukas Schreckenberg Florian Hufen J. Jasperneite M. Wiering OffRL 26 14 0 30 Mar 2021
Fundamental Challenges in Deep Learning for Stiff Contact Dynamics Mihir Parmar Mathew Halm Michael Posa 29 36 0 29 Mar 2021
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning A. S. Morgan Daljeet Nandha Georgia Chalvatzaki Carlo DÉramo A. Dollar Jan Peters 48 43 0 25 Mar 2021
Online Baum-Welch algorithm for Hierarchical Imitation Learning Vittorio Giammarino I. Paschalidis OffRL 22 2 0 22 Mar 2021
Reward-Reinforced Reinforcement Learning for Multi-agent Systems Changgang Zheng Shufan Yang Juan Marcelo Parra Ullauri A. García-Domínguez Nelly Bencomo 12 9 0 22 Mar 2021
MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation Zachary Seymour Kowshik Thopalli Niluthpol Chowdhury Mithun Han-Pang Chiu S. Samarasekera Rakesh Kumar 3DPC 24 18 0 21 Mar 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 27 21 0 17 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 23 17 0 15 Mar 2021
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning Patrick Wenzel Torsten Schön Laura Leal-Taixé Daniel Cremers 28 36 0 08 Mar 2021
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning Marian Korber Johann Lange S. Rediske Simon Steinmann Roland Glück 19 50 0 08 Mar 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction Hongyao Tang Jianye Hao Guangyong Chen Pengfei Chen Chong Chen Yaodong Yang Lu Zhang Wulong Liu Zhaopeng Meng OffRL 35 4 0 03 Mar 2021
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control Jacopo Panerati Hehui Zheng Siqi Zhou James Xu Amanda Prorok Angela P. Schoellig University of Toronto Institute for A Studies AI4CE 22 155 0 03 Mar 2021
Offline Reinforcement Learning with Pseudometric Learning Robert Dadashi Shideh Rezaeifar Nino Vieillard Léonard Hussenot Olivier Pietquin M. Geist OffRL 39 40 0 02 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 69 1,179 0 02 Mar 2021
Expected Value of Communication for Planning in Ad Hoc Teamwork William Macke Reuth Mirsky Peter Stone 42 25 0 01 Mar 2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods Nicholay Topin Stephanie Milani Fei Fang Manuela Veloso OffRL 29 32 0 25 Feb 2021
Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience Nicholas Watters J. Tenenbaum M. Jazayeri GP 29 3 0 25 Feb 2021
Uncertainty Maximization in Partially Observable Domains: A Cognitive Perspective Mirza Ramicic Andrea Bonarini 21 3 0 22 Feb 2021
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels Yongqian Xiao Xin Xu Yifei Shi 22 9 0 19 Feb 2021
Model-Invariant State Abstractions for Model-Based Reinforcement Learning Manan Tomar Amy Zhang Roberto Calandra Matthew E. Taylor Joelle Pineau 27 24 0 19 Feb 2021
Sim-Env: Decoupling OpenAI Gym Environments from Simulation Models Andreas Schuderer Stefano Bromuri M. V. Eekelen AI4CE 18 2 0 19 Feb 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 31 14 0 18 Feb 2021
Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach Nicola Milano S. Nolfi 92 10 0 17 Feb 2021
Learning from Demonstrations using Signal Temporal Logic Aniruddh Gopinath Puranic Jyotirmoy V. Deshmukh Stefanos Nikolaidis 40 25 0 15 Feb 2021
Sliced Multi-Marginal Optimal Transport Samuel N. Cohen Alexander Terenin Yannik Pitcan Brandon Amos M. Deisenroth K. S. S. Kumar OT 23 9 0 14 Feb 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators Anish Agarwal Abdullah Alomar Varkey Alumootil Devavrat Shah Dennis Shen Zhi Xu Cindy Yang OffRL 18 18 0 13 Feb 2021
Scalable Bayesian Inverse Reinforcement Learning Alex J. Chan M. Schaar OffRL BDL 26 67 0 12 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 37 182 0 11 Feb 2021
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks Luca Marzari Ameya Pore Diego DallÁlba G. Aragon-Camarasa Alessandro Farinelli Paolo Fiorini 38 28 0 08 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 20 520 0 04 Feb 2021
Embodied Intelligence via Learning and Evolution Agrim Gupta Silvio Savarese Surya Ganguli Li Fei-Fei AI4CE 27 232 0 03 Feb 2021
Differentiable Trust Region Layers for Deep Reinforcement Learning Fabian Otto P. Becker Ngo Anh Vien Hanna Ziesche Gerhard Neumann OffRL 41 19 0 22 Jan 2021
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models Justin Bayer Maximilian Soelch Atanas Mirchev Baris Kayalibay Patrick van der Smagt 31 15 0 18 Jan 2021
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning Yifeng Jiang Tingnan Zhang Daniel Ho Yunfei Bai Chenxi Liu Sergey Levine Jie Tan GAN 29 54 0 15 Jan 2021