OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,705 papers shown

Title
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives Alexander Fabisch Christoph Petzoldt M. Otto Frank Kirchner AI4CE 25 13 0 05 Jun 2019
Reinforcement Learning with Low-Complexity Liquid State Machines Wachirawit Ponghiran G. Srinivasan Kaushik Roy 25 14 0 04 Jun 2019
Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data Hananel Hazan D. J. Saunders Darpan T. Sanghavi H. Siegelmann R. Kozma 16 17 0 04 Jun 2019
Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation Srivatsan Krishnan Behzad Boroujerdian William Fu Aleksandra Faust Vijay Janapa Reddi 33 36 0 02 Jun 2019
Towards Finding Longer Proofs Zsolt Zombori Adrián Csiszárik Henryk Michalewski C. Kaliszyk Josef Urban OffRL LRM 48 15 0 30 May 2019
Adversarial Imitation Learning from Incomplete Demonstrations Mingfei Sun Xiaojuan Ma 24 29 0 29 May 2019
Linear interpolation gives better gradients than Gaussian smoothing in derivative-free optimization A. Berahas Liyuan Cao K. Choromanski K. Scheinberg 19 19 0 29 May 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 21 45 0 27 May 2019
Policy Search by Target Distribution Learning for Continuous Control Wei Shen Yuanqi Li Jian Li 31 6 0 27 May 2019
Explainable Reinforcement Learning Through a Causal Lens Prashan Madumal Tim Miller L. Sonenberg F. Vetere CML 34 357 0 27 May 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies Xue Bin Peng Michael Chang Grace Zhang Pieter Abbeel Sergey Levine 31 193 0 23 May 2019
Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment Jivitesh Sharma Per-Arne Andersen Ole-Christoffer Granmo M. G. Olsen AI4CE 46 68 0 23 May 2019
Deep Signature Transforms Patrick Kidger Patrick Kidger Imanol Perez Arribas C. Salvi Terry Lyons SLR 27 126 0 21 May 2019
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning Brian Yang Jesse Zhang Vitchyr H. Pong Sergey Levine Dinesh Jayaraman 33 37 0 17 May 2019
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning Abdulmajid Murad F. Kraemer Kerstin Bach Gavin Taylor 4 26 0 10 May 2019
Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning Yuan Lin J. McPhee N. L. Azad AI4CE 33 34 0 07 May 2019
P3O: Policy-on Policy-off Policy Optimization Rasool Fakoor Pratik Chaudhari Alex Smola OffRL 29 52 0 05 May 2019
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables Mingzhang Yin Yuguang Yue Mingyuan Zhou 22 23 0 04 May 2019
DAC: The Double Actor-Critic Architecture for Learning Options Shangtong Zhang Shimon Whiteson 30 72 0 29 Apr 2019
Meta-Sim: Learning to Generate Synthetic Datasets Amlan Kar Aayush Prakash Ming-Yuan Liu Eric Cameracci Justin Yuan Matt Rusiniak David Acuna Antonio Torralba Sanja Fidler 24 248 0 25 Apr 2019
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer E. Beeching Christian Wolf J. Dibangoye Olivier Simonin OffRL LRM 35 25 0 03 Apr 2019
VRGym: A Virtual Testbed for Physical and Interactive AI Xu Xie Hangxin Liu Zhenliang Zhang Yuxing Qiu Feng Gao Siyuan Qi Yixin Zhu Song-Chun Zhu 23 27 0 02 Apr 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 44 28 0 25 Mar 2019
Using RGB Image as Visual Input for Mapless Robot Navigation Liulong Ma Yanjie Liu Jiao Chen SSL 39 17 0 24 Mar 2019
HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots Tingguang Li Danny Ho Chenming Li Delong Zhu Chaoqun Wang Max Meng 3DV 27 55 0 23 Mar 2019
DQN with model-based exploration: efficient learning on environments with sparse rewards Stephen Gou Yuyang Liu 15 14 0 22 Mar 2019
Adaptive Genomic Evolution of Neural Network Topologies (AGENT) for State-to-Action Mapping in Autonomous Agents A. Behjat Sharat Chidambaran Souma Chowdhury 22 14 0 17 Mar 2019
Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors Artem Molchanov Tao Chen Wolfgang Hönig James A. Preiss Nora Ayanian Gaurav Sukhatme 24 107 0 11 Mar 2019
Adaptive Power System Emergency Control using Deep Reinforcement Learning Qiuhua Huang Renke Huang Weituo Hao Jie Tan Rui Fan Zhenyu Huang 22 270 0 09 Mar 2019
Dyna-AIL : Adversarial Imitation Learning by Planning Vaibhav Saxena Srinivasan Sivanandan Pulkit Mathur 27 1 0 08 Mar 2019
Provably Robust Blackbox Optimization for Reinforcement Learning K. Choromanski Aldo Pacchiano Jack Parker-Holder Yunhao Tang Deepali Jain Yuxiang Yang Atil Iscen Jasmine Hsu Vikas Sindhwani 21 5 0 07 Mar 2019
The AI Driving Olympics at NeurIPS 2018 J. Zilly J. Tani Breandan Considine Bhairav Mehta Andrea F. Daniele ... R. Hristov S. Mallya Emilio Frazzoli A. Censi Liam Paull 26 14 0 06 Mar 2019
Open-Sourced Reinforcement Learning Environments for Surgical Robotics Florian Richter Ryan K. Orosco Michael C. Yip OffRL 27 79 0 05 Mar 2019
The StreetLearn Environment and Dataset Piotr Wojciech Mirowski Andras Banki-Horvath Keith Anderson Denis Teplyashin Karl Moritz Hermann ... Matthew Koichi Grimes Karen Simonyan Koray Kavukcuoglu Andrew Zisserman R. Hadsell 3DV 26 65 0 04 Mar 2019
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents Joseph Suárez Yilun Du Phillip Isola Igor Mordatch 19 71 0 02 Mar 2019
Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers Baihan Lin 27 2 0 27 Feb 2019
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control Jeremy Morton F. Witherden Mykel J Kochenderfer 29 46 0 26 Feb 2019
Flappy Hummingbird: An Open Source Dynamic Simulation of Flapping Wing Robots and Animals Fan Fei Zhan Tu Yilun Yang Jian Zhang Xinyan Deng 27 32 0 25 Feb 2019
Curiosity-Driven Experience Prioritization via Density Estimation Rui Zhao Volker Tresp 48 54 0 20 Feb 2019
Emergent Coordination Through Competition Siqi Liu Guy Lever J. Merel S. Tunyasuvunakool N. Heess T. Graepel 47 149 0 19 Feb 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 27 32 0 18 Feb 2019
Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations Yuhui Wang Hao He Xiaoyang Tan 30 9 0 15 Feb 2019
Network Offloading Policies for Cloud Robotics: a Learning-based Approach Sandeep P. Chinchali Apoorva Sharma James Harrison Amine Elhafsi Daniel Kang Evgenya Pergament Eyal Cidon Sachin Katti Marco Pavone OffRL 11 105 0 15 Feb 2019
VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems T. Dreossi Daniel J. Fremont Shromona Ghosh Edward J. Kim H. Ravanbakhsh Marcell Vazquez-Chanlatte Sanjit A. Seshia 18 29 0 12 Feb 2019
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning Francisco M. Garcia Philip S. Thomas 24 38 0 03 Feb 2019
Certified Reinforcement Learning with Logic Guidance Mohammadhosein Hasanbeig Daniel Kroening Alessandro Abate 41 54 0 02 Feb 2019
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective Anirudh Vemula Wen Sun J. Andrew Bagnell 21 40 0 31 Jan 2019
Improving Evolutionary Strategies with Generative Neural Networks Louis Faury Clément Calauzènes Olivier Fercoq Syrine Krichene 27 12 0 31 Jan 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 24 363 0 30 Jan 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 26 119 0 29 Jan 2019