Title
Behaviour Suite for Reinforcement Learning Ian Osband Yotam Doron Matteo Hessel John Aslanides Eren Sezener ... Satinder Singh Benjamin Van Roy R. Sutton David Silver H. V. Hasselt OffRL 32 178 0 09 Aug 2019
Accelerating Reinforcement Learning through GPU Atari Emulation Steven Dalton I. Frosio M. Garland ELM 27 9 0 19 Jul 2019
Proximal Policy Optimization with Mixed Distributed Training Zhenyu Zhang Xiangfeng Luo Tong Liu Shaorong Xie Jianshu Wang Wei Wang Heng Chang Yan Peng OffRL 30 21 0 15 Jul 2019
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning Ravichandra Addanki S. Venkatakrishnan Shreyan Gupta Hongzi Mao Mohammad Alizadeh OOD OffRL 30 66 0 20 Jun 2019
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning Mahmoud Assran Joshua Romoff Nicolas Ballas Joelle Pineau Michael G. Rabbat 36 32 0 09 Jun 2019
Load Balancing for Ultra-Dense Networks: A Deep Reinforcement Learning Based Approach Yue Xu Wenjun Xu Zhi Wang Jiaru Lin Shuguang Cui 26 69 0 03 Jun 2019
On the Generalization Gap in Reparameterizable Reinforcement Learning Huan Wang Stephan Zheng Caiming Xiong R. Socher 17 39 0 29 May 2019
Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning A. Roibu 34 1 0 10 May 2019
Toybox: A Suite of Environments for Experimental Evaluation of Deep Reinforcement Learning Emma Tosch Kaleigh Clary John Foley David D. Jensen OffRL 17 9 0 07 May 2019
Towards Characterizing Divergence in Deep Q-Learning Joshua Achiam Ethan Knight Pieter Abbeel 27 96 0 21 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
Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning D. Adjodah D. Calacci Abhimanyu Dubey Anirudh Goyal P. Krafft Esteban Moro Egido Alex Pentland AI4CE 30 8 0 16 Feb 2019
A Bandit Framework for Optimal Selection of Reinforcement Learning Agents A. Merentitis Kashif Rasul Roland Vollgraf Abdul-Saboor Sheikh Urs M. Bergmann 22 2 0 10 Feb 2019
Metaoptimization on a Distributed System for Deep Reinforcement Learning Greg Heinrich I. Frosio OffRL 26 2 0 07 Feb 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
Comparing Knowledge-based Reinforcement Learning to Neural Networks in a Strategy Game L. Nechepurenko Viktor Voss V. Gritsenko OffRL 11 6 0 15 Jan 2019
Learn to Interpret Atari Agents Zhao Yang S. Bai Li Zhang Philip Torr 22 28 0 29 Dec 2018
Information-Directed Exploration for Deep Reinforcement Learning Nikolay Nikolov Johannes Kirschner Felix Berkenkamp Andreas Krause 31 68 0 18 Dec 2018
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning Tianyi Chen Kaipeng Zhang G. Giannakis Tamer Basar OffRL 29 41 0 07 Dec 2018
Measuring and Characterizing Generalization in Deep Reinforcement Learning Sam Witty Jun Ki Lee Emma Tosch Akanksha Atrey Michael Littman David D. Jensen OffRL 19 60 0 07 Dec 2018
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity Yibo Zeng Fei Feng W. Yin 19 3 0 03 Dec 2018
How to Organize your Deep Reinforcement Learning Agents: The Importance of Communication Topology D. Adjodah D. Calacci Abhimanyu Dubey P. Krafft Esteban Moro Egido Alex Pentland GNN 17 0 0 30 Nov 2018
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments Qihao Liu Yujia Wang Xiao-Fei Liu 25 8 0 26 Nov 2018
Analysing Results from AI Benchmarks: Key Indicators and How to Obtain Them Fernando Martínez-Plumed José Hernández-Orallo 25 39 0 20 Nov 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning Jacky Liang Viktor Makoviychuk Ankur Handa N. Chentanez Miles Macklin Dieter Fox AI4CE 27 182 0 12 Oct 2018
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning P. Nagarajan Garrett A. Warnell Peter Stone 22 51 0 15 Sep 2018
Multi-task Deep Reinforcement Learning with PopArt Matteo Hessel Hubert Soyer L. Espeholt Wojciech M. Czarnecki Simon Schmitt H. V. Hasselt 22 315 0 12 Sep 2018
Goal-oriented Dialogue Policy Learning from Failures Keting Lu Shiqi Zhang Xiaoping Chen OffRL 20 29 0 20 Aug 2018
Asynchronous Advantage Actor-Critic Agent for Starcraft II Basel Alghanem G. KeerthanaP. OffRL 8 5 0 22 Jul 2018
Safe Option-Critic: Learning Safety in the Option-Critic Architecture Arushi Jain Khimya Khetarpal Doina Precup 21 26 0 21 Jul 2018
Amanuensis: The Programmer's Apprentice Thomas Dean Maurice Chiang Marcus Gomez Nate Gruver Yousef Hindy ... S. Sanchez Rohun Saxena Michael Smith Lucy Wang Catherine Wong 29 3 0 29 Jun 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov A. Irpan P. Pastor Julian Ibarz Alexander Herzog ... Deirdre Quillen E. Holly Mrinal Kalakrishnan Vincent Vanhoucke Sergey Levine 53 1,449 0 27 Jun 2018
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 25 529 0 14 Jun 2018
Between Progress and Potential Impact of AI: the Neglected Dimensions Fernando Martínez-Plumed S. Avin Miles Brundage Allan Dafoe Seán Ó hÉigeartaigh José Hernández-Orallo 36 3 0 02 Jun 2018
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 53 324 0 24 May 2018
Spark-MPI: Approaching the Fifth Paradigm of Cognitive Applications N. Malitsky R. Castain Matt Cowan 36 6 0 16 May 2018
Building Near-Real-Time Processing Pipelines with the Spark-MPI Platform N. Malitsky Aashish Chaudhary S. Jourdain Matt Cowan P. O’leary M. Hanwell K. K. Dam 21 11 0 13 May 2018
Deep Reinforcement Learning for Playing 2.5D Fighting Games Yu-Jhe Li Hsin-Yu Chang Yu-Jing Lin Po-Wei Wu Y. Wang GAN 11 5 0 05 May 2018
A Study on Overfitting in Deep Reinforcement Learning Chiyuan Zhang Oriol Vinyals Rémi Munos Samy Bengio OffRL OnRL 18 384 0 18 Apr 2018
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation Thomy Phan Lenz Belzner Thomas Gabor Kyrill Schmid OffRL 32 15 0 17 Apr 2018
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning Kun Shao Yuanheng Zhu Dongbin Zhao 107 170 0 03 Apr 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 96 1,657 0 30 Mar 2018
Optimizing Sponsored Search Ranking Strategy by Deep Reinforcement Learning Li He Liang Wang Kaipeng Liu Bo Wu Weinan Zhang 29 7 0 20 Mar 2018
Accelerated Methods for Deep Reinforcement Learning Adam Stooke Pieter Abbeel OffRL OnRL 25 133 0 07 Mar 2018
Distributed Prioritized Experience Replay Dan Horgan John Quan David Budden Gabriel Barth-Maron Matteo Hessel H. V. Hasselt David Silver 113 731 0 02 Mar 2018
Online Machine Learning in Big Data Streams András A. Benczúr Levente Kocsis Róbert Pálovics 10 43 0 16 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 60 1,578 0 05 Feb 2018
Deep In-GPU Experience Replay Ben Parr OffRL VLM 11 2 0 09 Jan 2018
Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes Igor Adamski R. Adamski T. Grel Adam Jedrych Kamil Kaczmarek Henryk Michalewski OffRL 41 37 0 09 Jan 2018