OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
Omega-Regular Objectives in Model-Free Reinforcement Learning E. M. Hahn Mateo Perez S. Schewe Fabio Somenzi Ashutosh Trivedi D. Wojtczak 127 149 0 26 Sep 2018
Benchmarking Reinforcement Learning Algorithms on Real-World Robots A. R. Mahmood D. Korenkevych Gautham Vasan W. Ma James Bergstra OffRL 94 158 0 20 Sep 2018
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning Izumi Karino Kazutoshi Tanaka Ryuma Niiyama Yasuo Kuniyoshi 32 3 0 18 Sep 2018
Inspiration Learning through Preferences Nir Baram Shie Mannor 35 1 0 16 Sep 2018
Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator Hai V. Nguyen Hung M. La M. Deans SSL OffRL 35 8 0 16 Sep 2018
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning P. Nagarajan Garrett A. Warnell Peter Stone 87 51 0 15 Sep 2018
Towards Better Interpretability in Deep Q-Networks Raghuram Mandyam Annasamy Katia Sycara FAtt 59 59 0 15 Sep 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 83 228 0 14 Sep 2018
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze Diego Romeres Devesh K. Jha Alberto Dalla Libera W. Yerazunis D. Nikovski 108 28 0 13 Sep 2018
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics J. Baar Alan Sullivan Radu Cordorel Devesh K. Jha Diego Romeres D. Nikovski 116 57 0 13 Sep 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning Isac Arnekvist Danica Kragic J. A. Stork OffRL 57 37 0 10 Sep 2018
A Continuous Information Gain Measure to Find the Most Discriminatory Problems for AI Benchmarking Matthew Stephenson Damien Anderson Ahmed Khalifa J. Levine Jochen Renz Julian Togelius Christoph Salge 68 11 0 09 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 87 821 0 07 Sep 2018
Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks Seydou Ba Takuya Hiraoka Takashi Onishi T. Nakata Yoshimasa Tsuruoka 24 1 0 07 Sep 2018
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark Akshat Agarwal Ryan Hope Katia Sycara OffRL 34 9 0 06 Sep 2018
Sample-Efficient Imitation Learning via Generative Adversarial Nets Lionel Blondé Alexandros Kalousis GAN 67 47 0 06 Sep 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 128 957 0 04 Sep 2018
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation Zhiting Hu Haoran Shi Bowen Tan Wentao Wang Zichao Yang ... Zhengzhong Liu Xiaodan Liang Wangrong Zhu Devendra Singh Sachan Eric Xing VLM 143 56 0 04 Sep 2018
APES: a Python toolbox for simulating reinforcement learning environments Aqeel Labash Ardi Tampuu Tambet Matiisen Jaan Aru Raul Vicente 37 2 0 31 Aug 2018
Gibson Env: Real-World Perception for Embodied Agents F. Xia Amir Zamir Zhi-Yang He Alexander Sax Jitendra Malik Silvio Savarese AI4CE LM&Ro 96 830 0 31 Aug 2018
Application of Self-Play Reinforcement Learning to a Four-Player Game of Imperfect Information Henry Charlesworth SSL 23 13 0 30 Aug 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang Sharad Vikram Laura M. Smith Pieter Abbeel Matthew J. Johnson Sergey Levine OffRL 90 42 0 28 Aug 2018
SOTER: A Runtime Assurance Framework for Programming Safe Robotics Systems Ankush Desai Shromona Ghosh Sanjit A. Seshia N. Shankar A. Tiwari 47 13 0 23 Aug 2018
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo VLM AI4CE 56 46 0 15 Aug 2018
End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning Wenhan Luo Peng Sun Fangwei Zhong Wen Liu Tong Zhang Yizhou Wang 75 126 0 10 Aug 2018
GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware A. Samajdar Parth Mannan K. Garg T. Krishna 59 20 0 03 Aug 2018
Learning Actionable Representations from Visual Observations Debidatta Dwibedi Jonathan Tompson Corey Lynch P. Sermanet SSL 89 80 0 02 Aug 2018
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising D. Rohde Stephen Bonner Travis Dunlop Flavian Vasile Alexandros Karatzoglou OffRL 86 150 0 02 Aug 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 243 1,888 0 01 Aug 2018
Robot Motion Planning in Learned Latent Spaces Brian Ichter Marco Pavone 89 152 0 26 Jul 2018
Variational Option Discovery Algorithms Joshua Achiam Harrison Edwards Dario Amodei Pieter Abbeel DRL 76 180 0 26 Jul 2018
ToriLLE: Learning Environment for Hand-to-Hand Combat Anssi Kanervisto Ville Hautamaki 62 2 0 26 Jul 2018
Meta-Learning Priors for Efficient Online Bayesian Regression James Harrison Apoorva Sharma Marco Pavone BDL 84 102 0 24 Jul 2018
Measuring collaborative emergent behavior in multi-agent reinforcement learning Sean L. Barton Nicholas R. Waytowich Erin G. Zaroukian Derrik E. Asher 45 28 0 23 Jul 2018
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning Kunal Menda Katherine Driggs-Campbell Mykel J. Kochenderfer 193 119 0 22 Jul 2018
FuzzerGym: A Competitive Framework for Fuzzing and Learning W. Drozd Michael D. Wagner 66 32 0 19 Jul 2018
Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms P. Tavallali G. Doran L. Mandrake 28 0 0 16 Jul 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron J. Havens Zhanhong Jiang Soumik Sarkar AAML 115 44 0 16 Jul 2018
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees Guiliang Liu Oliver Schulte Wang Zhu Qingcan Li AI4CE 58 136 0 16 Jul 2018
Remember and Forget for Experience Replay G. Novati Petros Koumoutsakos OffRL 108 92 0 16 Jul 2018
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes Ronan Fruit Matteo Pirotta A. Lazaric 82 62 0 06 Jul 2018
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing Chen Liang Mohammad Norouzi Jonathan Berant Quoc V. Le Ni Lao 126 134 0 06 Jul 2018
Variance Reduction for Reinforcement Learning in Input-Driven Environments Hongzi Mao S. Venkatakrishnan Malte Schwarzkopf Mohammad Alizadeh OffRL 98 95 0 06 Jul 2018
Goal-oriented Trajectories for Efficient Exploration Fabio Pardo Vitaly Levdik Petar Kormushev 31 2 0 05 Jul 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion Jacob Buckman Danijar Hafner George Tucker E. Brevdo Honglak Lee 97 333 0 04 Jul 2018
Region Growing Curriculum Generation for Reinforcement Learning Artem Molchanov Karol Hausman Stan Birchfield Gaurav Sukhatme 65 2 0 04 Jul 2018
Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization Xiangxiang Chu 98 9 0 02 Jul 2018
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation Niels Justesen R. Torrado Philip Bontrager Ahmed Khalifa Julian Togelius S. Risi 175 186 0 28 Jun 2018
Adversarial Active Exploration for Inverse Dynamics Model Learning Zhang-Wei Hong Tsu-Jui Fu Tzu-Yun Shann Yi-Hsiang Chang Chun-Yi Lee 33 6 0 26 Jun 2018
Accuracy-based Curriculum Learning in Deep Reinforcement Learning Pierre Fournier Olivier Sigaud Mohamed Chetouani Pierre-Yves Oudeyer ODL 137 39 0 25 Jun 2018