OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
Profitable Strategy Design by Using Deep Reinforcement Learning for Trades on Cryptocurrency Markets Mohsen Asgari S. H. Khasteh 71 5 0 15 Jan 2022
Parameter Identification and Motion Control for Articulated Rigid Body Robots Using Differentiable Position-based Dynamics Fei Liu Ming Li Jingpei Lu Entong Su Michael C. Yip AI4CE 55 6 0 15 Jan 2022
Neural Circuit Architectural Priors for Embodied Control Nikhil X. Bhattasali A. Zador Tatiana A. Engel 146 5 0 13 Jan 2022
Automated Reinforcement Learning: An Overview Reza Refaei Afshar Yingqian Zhang Joaquin Vanschoren U. Kaymak OffRL 160 16 0 13 Jan 2022
Multi-echelon Supply Chains with Uncertain Seasonal Demands and Lead Times Using Deep Reinforcement Learning Julio César Alves G. Mateus BDL 18 3 0 12 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 116 107 0 11 Jan 2022
pymdp: A Python library for active inference in discrete state spaces Conor Heins Beren Millidge Daphne Demekas Brennan Klein Karl J. Friston I. Couzin Alexander Tschantz AI4CE 122 53 0 11 Jan 2022
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models Alexander Pan Kush S. Bhatia Jacob Steinhardt 126 184 0 10 Jan 2022
Assessing Policy, Loss and Planning Combinations in Reinforcement Learning using a New Modular Architecture Tiago Gaspar Oliveira Arlindo L. Oliveira 53 0 0 08 Jan 2022
Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism Yu-jian Zeng Zijun Liao Y. Dai Rong Wang Xiu Li Bo Yuan 49 14 0 03 Jan 2022
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning Yuxing Wang Tiantian Zhang Yongzhe Chang Bin Liang Xueqian Wang Bo Yuan 91 17 0 01 Jan 2022
Single-Shot Pruning for Offline Reinforcement Learning Samin Yeasar Arnob Riyasat Ohib Sergey Plis Doina Precup OffRL 67 25 0 31 Dec 2021
Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning Tong Mu Georgios Theocharous David Arbour Emma Brunskill 71 6 0 30 Dec 2021
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning Kai Hsu Vicencc Rubies-Royo Claire Tomlin J. F. Fisac 80 68 0 23 Dec 2021
Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-agent Urban Driving Environment Aizaz Sharif D. Marijan 44 5 0 22 Dec 2021
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment E. Beeching Maxim Peter Philippe Marcotte Jilles Debangoye Olivier Simonin Joshua Romoff Christian Wolf 91 5 0 22 Dec 2021
Soft Actor-Critic with Cross-Entropy Policy Optimization Zhenyang Shi Surya Pal Singh 48 5 0 21 Dec 2021
Variational Quantum Soft Actor-Critic Qingfeng Lan 62 22 0 20 Dec 2021
Data Augmentation through Expert-guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning Giorgio Angelotti Nicolas Drougard Caroline Ponzoni Carvalho Chanel OffRL 78 2 0 18 Dec 2021
Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes (Technical Report) Florent Delgrange Ann Nowé Guillermo A. Pérez OffRL 36 11 0 17 Dec 2021
Stability Verification in Stochastic Control Systems via Neural Network Supermartingales Mathias Lechner Dorde Zikelic K. Chatterjee T. Henzinger 75 33 0 17 Dec 2021
On Optimizing Interventions in Shared Autonomy Weihao Tan David Koleczek Siddhant Pradhan Nicholas Perello Vivek Chettiar Vishal Rohra Aaslesha Rajaram Soundararajan Srinivasan H. M. S. Hossain Yash Chandak 92 5 0 16 Dec 2021
Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs Ezgi Korkmaz 62 26 0 16 Dec 2021
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation Enrico Marchesini Davide Corsi Alessandro Farinelli 67 19 0 16 Dec 2021
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic Zhihai Wang Jie Wang Qi Zhou Bin Li Houqiang Li 71 34 0 16 Dec 2021
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning Yecheng Jason Ma Andrew Shen Osbert Bastani Dinesh Jayaraman 61 25 0 14 Dec 2021
Teaching a Robot to Walk Using Reinforcement Learning Jack Dibachi Jacob Azoulay 31 5 0 13 Dec 2021
PantheonRL: A MARL Library for Dynamic Training Interactions Bidipta Sarkar Aditi Talati Andy Shih Dorsa Sadigh 72 17 0 13 Dec 2021
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency Mingfei Sun Sam Devlin Katja Hofmann Shimon Whiteson 30 4 0 11 Dec 2021
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework Kritika Prakash Fiza Husain P. Paruchuri Sujit Gujar OffRL 92 11 0 10 Dec 2021
Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning Giseung Park Sungho Choi Y. Sung OffRL 67 3 0 10 Dec 2021
An Experimental Design Perspective on Model-Based Reinforcement Learning Viraj Mehta Biswajit Paria J. Schneider Stefano Ermon Willie Neiswanger OffRL 87 22 0 09 Dec 2021
Policy Search for Model Predictive Control with Application to Agile Drone Flight Yunlong Song Davide Scaramuzza 92 86 0 07 Dec 2021
Adapting Procedural Content Generation to Player Personas Through Evolution Pedro M. A. Fernandes Jonathan Jørgensen N. T. Poldervaart 49 5 0 07 Dec 2021
Godot Reinforcement Learning Agents E. Beeching Jilles Debangoye Olivier Simonin Christian Wolf GP OnRL 54 5 0 07 Dec 2021
Virtual Replay Cache Brett Daley Chris Amato 29 0 0 06 Dec 2021
Functional Regularization for Reinforcement Learning via Learned Fourier Features Alexander C. Li Deepak Pathak 87 18 0 06 Dec 2021
Distilled Domain Randomization J. Brosseit Benedikt Hahner Fabio Muratore Michael Gienger Jan Peters 40 4 0 06 Dec 2021
ED2: Environment Dynamics Decomposition World Models for Continuous Control Jianye Hao Yifu Yuan Cong Wang Zhen Wang OffRL 91 2 0 06 Dec 2021
Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning Aaqib Parvez Mohammed Matias Valdenegro-Toro OOD OffRL 56 10 0 05 Dec 2021
Sample Complexity of Robust Reinforcement Learning with a Generative Model Kishan Panaganti D. Kalathil 164 78 0 02 Dec 2021
Residual Pathway Priors for Soft Equivariance Constraints Marc Finzi Gregory W. Benton A. Wilson BDL UQCV 86 59 0 02 Dec 2021
Homotopy Based Reinforcement Learning with Maximum Entropy for Autonomous Air Combat Yiwen Zhu Zhou Fang Yuan Zheng Wenya Wei 39 2 0 01 Dec 2021
Continuous Control With Ensemble Deep Deterministic Policy Gradients Piotr Januszewski Mateusz Olko M. Królikowski J. Swiatkowski Marcin Andrychowicz Lukasz Kuciñski Piotr Milo's OffRL 29 10 0 30 Nov 2021
DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for Highly Dynamic Networks Saeed Kaviani Bo Ryu Ejaz Ahmed Kevin Larson Anh-Ngoc Le Alex Yahja J. H. Kim 61 9 0 29 Nov 2021
Collective Intelligence for Deep Learning: A Survey of Recent Developments David R Ha Yu Tang AI4CE 127 70 0 29 Nov 2021
A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park Operator Malte Lehna Bjorn Hoppmann René Heinrich Christoph Scholz 42 17 0 26 Nov 2021
Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning Haitong Ma Changliu Liu Shengbo Eben Li Sifa Zheng Wen Sun Jianyu Chen 84 11 0 25 Nov 2021
Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings Kingsley Nweye Bo Liu Peter Stone Zoltán Nagy OffRL AI4CE 81 38 0 25 Nov 2021
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Nicolai Dorka Tim Welschehold Joschka Boedecker Wolfram Burgard OffRL 65 9 0 24 Nov 2021