OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 36 372 0 01 Jul 2019
Learning to Cope with Adversarial Attacks Xian Yeow Lee Aaron J. Havens Girish Chowdhary Soumik Sarkar AAML 38 5 0 28 Jun 2019
Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction Sammy Christen Stefan Stevšić Otmar Hilliges 35 24 0 27 Jun 2019
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning H. Jomaa Josif Grabocka Lars Schmidt-Thieme 25 65 0 27 Jun 2019
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives Anirudh Goyal Shagun Sodhani Jonathan Binas Xue Bin Peng Sergey Levine Yoshua Bengio 24 47 0 25 Jun 2019
Sequential Neural Processes Gautam Singh Jaesik Yoon Youngsung Son Sungjin Ahn BDL AI4TS 40 81 0 24 Jun 2019
Modern Deep Reinforcement Learning Algorithms Sergey Ivanov A. Dýakonov OffRL 29 39 0 24 Jun 2019
Proximal Distilled Evolutionary Reinforcement Learning Cristian Bodnar Ben Day Pietro Lio 36 71 0 24 Jun 2019
RadGrad: Active learning with loss gradients Paul Budnarain Renato Ferreira Pinto Junior Ilan Kogan 27 3 0 18 Jun 2019
Hill Climbing on Value Estimates for Search-control in Dyna Yangchen Pan Hengshuai Yao Amir-massoud Farahmand Martha White 22 18 0 18 Jun 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 38 239 0 11 Jun 2019
Learning to Score Behaviors for Guided Policy Optimization Aldo Pacchiano Jack Parker-Holder Yunhao Tang A. Choromańska K. Choromanski Michael I. Jordan 27 38 0 11 Jun 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 35 85 0 10 Jun 2019
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives Alexander Fabisch Christoph Petzoldt M. Otto Frank Kirchner AI4CE 15 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 10 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 18 36 0 02 Jun 2019
Towards Finding Longer Proofs Zsolt Zombori Adrián Csiszárik Henryk Michalewski C. Kaliszyk Josef Urban OffRL LRM 31 15 0 30 May 2019
Adversarial Imitation Learning from Incomplete Demonstrations Mingfei Sun Xiaojuan Ma 24 28 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 Chuheng Zhang Yuanqi Li Jian Li 26 6 0 27 May 2019
Explainable Reinforcement Learning Through a Causal Lens Prashan Madumal Tim Miller L. Sonenberg F. Vetere CML 23 355 0 27 May 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies Xue Bin Peng Michael Chang Grace Zhang Pieter Abbeel Sergey Levine 31 192 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 38 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 27 37 0 17 May 2019
Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning Yuan Lin J. McPhee N. L. Azad AI4CE 25 34 0 07 May 2019
P3O: Policy-on Policy-off Policy Optimization Rasool Fakoor Pratik Chaudhari Alex Smola OffRL 29 51 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 Liu Eric Cameracci Justin Yuan Matt Rusiniak David Acuna Antonio Torralba Sanja Fidler 22 248 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 20 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 19 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 18 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 13 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 21 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 64 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 19 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 45 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