Title
Local Stochastic Approximation: A Unified View of Federated Learning and Distributed Multi-Task Reinforcement Learning Algorithms Thinh T. Doan FedML 17 9 0 24 Jun 2020
Experience Replay with Likelihood-free Importance Weights Samarth Sinha Jiaming Song Animesh Garg Stefano Ermon OffRL 33 55 0 23 Jun 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning Roberta Raileanu M. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus OffRL 22 109 0 23 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 38 125 0 22 Jun 2020
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning Aleksei Petrenko Zhehui Huang T. Kumar Gaurav Sukhatme V. Koltun 21 101 0 21 Jun 2020
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration Zhenghao Peng Hao Sun Bolei Zhou 18 18 0 14 Jun 2020
Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies Yunhao Tang K. Choromanski OffRL 11 13 0 13 Jun 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning Yunhao Tang SSL 33 24 0 12 Jun 2020
A Brief Look at Generalization in Visual Meta-Reinforcement Learning Safa Alver Doina Precup OffRL 17 9 0 12 Jun 2020
A Practical Sparse Approximation for Real Time Recurrent Learning Jacob Menick Erich Elsen Utku Evci Simon Osindero Karen Simonyan Alex Graves 21 31 0 12 Jun 2020
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning Filippos Christianos Lukas Schafer Stefano V. Albrecht 18 164 0 12 Jun 2020
Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning Borja G. Leon Murray Shanahan Francesco Belardinelli NAI AI4CE 31 28 0 12 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... M. Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 31 214 0 10 Jun 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning Maximilian Igl Gregory Farquhar Jelena Luketina Wendelin Boehmer Shimon Whiteson 27 85 0 10 Jun 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration Thomas W. Anthony Tom Eccles Andrea Tacchetti János Kramár I. Gemp ... Richard Everett Roman Werpachowski Satinder Singh T. Graepel Yoram Bachrach 24 42 0 08 Jun 2020
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning Sihan Zeng Aqeel Anwar Thinh T. Doan A. Raychowdhury Justin Romberg 19 39 0 08 Jun 2020
Rapid Task-Solving in Novel Environments Samuel Ritter Ryan Faulkner Laurent Sartran Adam Santoro M. Botvinick David Raposo 22 29 0 05 Jun 2020
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization T. Matsushima Hiroki Furuta Y. Matsuo Ofir Nachum S. Gu OffRL 25 147 0 05 Jun 2020
Learning Neural Light Transport Paul Sanzenbacher L. Mescheder Andreas Geiger 27 6 0 05 Jun 2020
Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion Josh Roy George Konidaris 14 16 0 04 Jun 2020
Probing Emergent Semantics in Predictive Agents via Question Answering Abhishek Das Federico Carnevale Hamza Merzic Laura Rimell R. Schneider ... Alden Hung Arun Ahuja S. Clark Greg Wayne Felix Hill 40 18 0 01 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 65 225 0 01 Jun 2020
Korali: Efficient and Scalable Software Framework for Bayesian Uncertainty Quantification and Stochastic Optimization Sergio M. Martin Daniel Wälchli G. Arampatzis Athena Economides Petr Karnakov Petros Koumoutsakos 6 15 0 27 May 2020
Policy Entropy for Out-of-Distribution Classification Andreas Sedlmeier Robert Muller Steffen Illium Claudia Linnhoff-Popien OODD OffRL 21 14 0 25 May 2020
Evaluating Generalisation in General Video Game Playing Martin Balla Simon Lucas Diego Perez-Liebana 11 2 0 22 May 2020
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text Felix Hill Soňa Mokrá Nathaniel Wong Tim Harley LM&Ro 24 81 0 19 May 2020
Playing Minecraft with Behavioural Cloning Anssi Kanervisto Janne Karttunen Ville Hautamaki 28 12 0 07 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 343 1,968 0 04 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 20 648 0 30 Apr 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 43 140 0 30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 45 774 0 28 Apr 2020
Multi-Task Learning for Dense Prediction Tasks: A Survey Simon Vandenhende Stamatios Georgoulis Wouter Van Gansbeke Marc Proesmans Dengxin Dai Luc Van Gool CVBM 29 72 0 28 Apr 2020
Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners Rodrigo Canaan Xianbo Gao Youjin Chung Julian Togelius Andy Nealen Stefan Menzel 19 4 0 28 Apr 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 352 0 27 Apr 2020
Reinforcement Learning Generalization with Surprise Minimization Jerry Zikun Chen OOD 27 19 0 26 Apr 2020
Qd-tree: Learning Data Layouts for Big Data Analytics Zongheng Yang Badrish Chandramouli Chi Wang J. Gehrke Yinan Li U. F. Minhas P. Larson Donald Kossmann R. Acharya 16 93 0 22 Apr 2020
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning Shangtong Zhang Bo Liu Shimon Whiteson 29 38 0 22 Apr 2020
Should I tear down this wall? Optimizing social metrics by evaluating novel actions János Kramár Neil C. Rabinowitz Tom Eccles Andrea Tacchetti 11 5 0 16 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 49 1,063 0 08 Apr 2020
Adaptive Transformers in RL Shakti Kumar Jerrod Parker Panteha Naderian OffRL AI4CE 6 13 0 08 Apr 2020
Benchmarking End-to-End Behavioural Cloning on Video Games Anssi Kanervisto J. Pussinen Ville Hautamaki OffRL 30 24 0 02 Apr 2020
Action Space Shaping in Deep Reinforcement Learning Anssi Kanervisto Christian Scheller Ville Hautamaki 27 80 0 02 Apr 2020
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning Marco Pleines J. Jitsev Mike Preuss Frank Zimmer 30 2 0 01 Apr 2020
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods Jiale Zhi Rui Wang Jeff Clune Kenneth O. Stanley OffRL 30 12 0 25 Mar 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 34 121 0 24 Mar 2020
Applications of Deep Learning for Ill-Posed Inverse Problems Within Optical Tomography A. Peace MedIm 6 0 0 21 Mar 2020
PFPN: Continuous Control of Physically Simulated Characters using Particle Filtering Policy Network Pei Xu Ioannis Karamouzas 9 3 0 16 Mar 2020
Optimizing Medical Treatment for Sepsis in Intensive Care: from Reinforcement Learning to Pre-Trial Evaluation Luchen Li I. Albert-Smet Aldo A. Faisal OffRL 12 10 0 13 Mar 2020
Taylor Expansion Policy Optimization Yunhao Tang Michal Valko Rémi Munos OffRL 22 14 0 13 Mar 2020
Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft Christian Scheller Yanick Schraner Manfred Vogel 29 27 0 12 Mar 2020