OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
Regularizing Model-Based Planning with Energy-Based Models Rinu Boney Arno Solin Alexander Ilin 76 18 0 12 Oct 2019
Assistive Gym: A Physics Simulation Framework for Assistive Robotics Zackory M. Erickson Vamsee Gangaram Ariel Kapusta Chenxi Liu Charles C. Kemp 106 111 0 10 Oct 2019
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement Chao Yang Xiaojian Ma Wenbing Huang F. Sun Huaping Liu Junzhou Huang Chuang Gan 106 71 0 10 Oct 2019
RLCard: A Toolkit for Reinforcement Learning in Card Games Daochen Zha Kwei-Herng Lai Yuanpu Cao Songyi Huang Ruzhe Wei Junyu Guo Helen Zhou OffRL 82 58 0 10 Oct 2019
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning Erdem Biyik Malayandi Palan Nicholas C. Landolfi Dylan P. Losey Dorsa Sadigh 53 116 0 10 Oct 2019
Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics Pantelis R. Vlachas Jaideep Pathak Brian R. Hunt T. Sapsis M. Girvan Edward Ott Petros Koumoutsakos AI4TS 94 400 0 09 Oct 2019
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions V. Sivakumar Olivier Delalleau Tim Rocktaschel Alexander H. Miller Heinrich Küttler Nantas Nardelli Michael G. Rabbat Joelle Pineau Sebastian Riedel 85 36 0 09 Oct 2019
Hierarchical Deep Double Q-Routing Ramy E. Ali B. Erman Ejder Bastug Bruce Cilli 46 17 0 09 Oct 2019
Ctrl-Z: Recovering from Instability in Reinforcement Learning Vibhavari Dasagi Jake Bruce T. Peynot Jurgen Leitner 53 10 0 09 Oct 2019
Tactical Reward Shaping: Bypassing Reinforcement Learning with Strategy-Based Goals Yizheng Zhang A. Rosendo 128 6 0 08 Oct 2019
Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study Manuel S. Nunes Atabak Dehban Plinio Moreno J. Santos-Victor 61 12 0 07 Oct 2019
If MaxEnt RL is the Answer, What is the Question? Benjamin Eysenbach Sergey Levine 77 59 0 04 Oct 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms Shih-Han Chou Wen-Yen Chang W. Hsu Jianlong Fu OffRL 74 185 0 03 Oct 2019
Relationship Explainable Multi-objective Optimization Via Vector Value Function Based Reinforcement Learning Huixin Zhan Yongcan Cao 66 7 0 02 Oct 2019
Deep Reinforcement Learning for Single-Shot Diagnosis and Adaptation in Damaged Robots Shresth Verma A. Mustafa Gaurav Agarwal E. Imre A. Hilton 13 7 0 02 Oct 2019
Attacking Vision-based Perception in End-to-End Autonomous Driving Models Adith Boloor Karthik Garimella Xin He C. Gill Yevgeniy Vorobeychik Xuan Zhang AAML 75 108 0 02 Oct 2019
CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem Arpan Kusari BDL 22 0 0 02 Oct 2019
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning Xue Bin Peng Aviral Kumar Grace Zhang Sergey Levine OffRL 174 570 0 01 Oct 2019
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs Yunbo Wang Bo Liu Jiajun Wu Yuke Zhu Simon S. Du Fei-Fei Li Joshua B. Tenenbaum 54 8 0 28 Sep 2019
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning Linxi Fan Yuke Zhu Jiren Zhu Zihua Liu Orien Zeng Anchit Gupta Joan Creus-Costa Silvio Savarese Li Fei-Fei OffRL GNN 89 3 0 27 Sep 2019
Playing Atari Ball Games with Hierarchical Reinforcement Learning Hua Huang Adrian Barbu 34 0 0 27 Sep 2019
RLBench: The Robot Learning Benchmark & Learning Environment Stephen James Z. Ma David Rovick Arrojo Andrew J. Davison SSL VLM OffRL 145 563 0 26 Sep 2019
Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation Huixin Zhan Yongcan Cao 61 2 0 26 Sep 2019
Can $Q$ -Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver? Vitaly Kurin Saad Godil Shimon Whiteson Bryan Catanzaro NAI 76 28 0 26 Sep 2019
Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning Yijiong Lin Jiancong Huang Matthieu Zimmer Yisheng Guan Juan Rojas Paul Weng OffRL 51 0 0 24 Sep 2019
Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor Daniel Seita Aditya Ganapathi Ryan Hoque M. Hwang Edward Cen ... Nawid Jamali K. Yamane Soshi Iba John F. Canny Ken Goldberg 58 120 0 23 Sep 2019
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning Joao G. Ribeiro Francisco S. Melo João Dias CLL 56 12 0 22 Sep 2019
How Much Do Unstated Problem Constraints Limit Deep Robotic Reinforcement Learning? W. Lewis Mark Moll Lydia E. Kavraki OffRL 45 5 0 20 Sep 2019
Visualizing Movement Control Optimization Landscapes Perttu Hämäläinen Juuso Toikka Amin Babadi Karen Liu 59 7 0 17 Sep 2019
Meta Reinforcement Learning for Sim-to-real Domain Adaptation Karol Arndt Murtaza Hazara Ali Ghadirzadeh Ville Kyrki 173 106 0 16 Sep 2019
Model Based Planning with Energy Based Models Yilun Du Toru Lin Igor Mordatch 97 38 0 15 Sep 2019
Wield: Systematic Reinforcement Learning With Progressive Randomization Michael Schaarschmidt Kai Fricke Eiko Yoneki 51 2 0 15 Sep 2019
State Representation Learning from Demonstration Astrid Merckling Michael Pearce Loic Cressot Stéphane Doncieux Matthias Poloczek OffRL 63 8 0 15 Sep 2019
Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space Zac Wellmer James T. Kwok 26 0 0 15 Sep 2019
Torchmeta: A Meta-Learning library for PyTorch T. Deleu Tobias Würfl Mandana Samiei Joseph Paul Cohen Yoshua Bengio OffRL 74 85 0 14 Sep 2019
Selfie Drone Stick: A Natural Interface for Quadcopter Photography Saif Alabachi G. Sukthankar Rahul Sukthankar 23 0 0 14 Sep 2019
A Stochastic Proximal Point Algorithm for Saddle-Point Problems Luo Luo Cheng Chen Yujun Li Guangzeng Xie Zhihua Zhang 142 16 0 13 Sep 2019
Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications Tamir Blum William Jones Kazuya Yoshida 34 8 0 13 Sep 2019
Modeling Sensorimotor Coordination as Multi-Agent Reinforcement Learning with Differentiable Communication Bowen Jing William Yin 26 1 0 12 Sep 2019
Interactive Fiction Games: A Colossal Adventure Matthew J. Hausknecht Prithviraj Ammanabrolu Marc-Alexandre Côté Xingdi Yuan LLMAG LM&Ro AI4CE 89 197 0 11 Sep 2019
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency Kacper Sokol Raúl Santos-Rodríguez Peter A. Flach 55 37 0 11 Sep 2019
Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning Arpan Kusari Jonathan P. How 16 3 0 11 Sep 2019
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning Thommen George Karimpanal Santu Rana Sunil R. Gupta T. Tran Svetha Venkatesh OffRL OnRL 64 10 0 10 Sep 2019
Recommendation System-based Upper Confidence Bound for Online Advertising Nhan Nguyen-Thanh D. Marinca K. Khawam D. Rohde Flavian Vasile E. Lohan Steven Martin Dominique Quadri OffRL 56 13 0 09 Sep 2019
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning Kristopher De Asis Alan Chan Silviu Pitis R. Sutton D. Graves 64 32 0 09 Sep 2019
Partner Approximating Learners (PAL): Simulation-Accelerated Learning with Explicit Partner Modeling in Multi-Agent Domains Florian Köpf A. Nitsch M. Flad Sören Hohmann 54 2 0 09 Sep 2019
Imitation Learning from Pixel-Level Demonstrations by HashReward Xin-Qiang Cai Yao-Xiang Ding Yuan Jiang Zhi Zhou 41 10 0 09 Sep 2019
A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots Nicolai A. Lynnerup Laura Nolling Rasmus Hasle J. Hallam 46 18 0 09 Sep 2019
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems Xiangyu Zhao Changsheng Gu Haoshenglun Zhang Xiwang Yang Xiaobing Liu Jiliang Tang Hui Liu OffRL 81 102 0 09 Sep 2019
Mature GAIL: Imitation Learning for Low-level and High-dimensional Input using Global Encoder and Cost Transformation Wonsup Shin Hyolim Kang Sunghoon Hong 15 0 0 07 Sep 2019