Title
Neural Thompson Sampling Weitong Zhang Dongruo Zhou Lihong Li Quanquan Gu 34 115 0 02 Oct 2020
Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management Zhi Chen Lu Chen Xiaoyuan Liu Kai Yu 41 20 0 22 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 44 79 0 17 Sep 2020
Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient Hao Jia Xiao Zhang Jun Xu Wei Zeng Hao Jiang Xiao Yan Ji-Rong Wen 25 3 0 25 Jul 2020
Revisiting Fundamentals of Experience Replay W. Fedus Prajit Ramachandran Rishabh Agarwal Yoshua Bengio Hugo Larochelle Mark Rowland Will Dabney KELM OffRL 30 235 0 13 Jul 2020
Data-Efficient Reinforcement Learning with Self-Predictive Representations Max Schwarzer Ankesh Anand Rishab Goel R. Devon Hjelm Aaron Courville Philip Bachman 41 312 0 12 Jul 2020
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration Zhenghao Peng Hao Sun Bolei Zhou 18 18 0 14 Jun 2020
Temporally-Extended ε-Greedy Exploration Will Dabney Georg Ostrovski André Barreto 22 34 0 02 Jun 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 352 0 27 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
An Application of Deep Reinforcement Learning to Algorithmic Trading Thibaut Théate D. Ernst AIFin 19 162 0 07 Apr 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 29 510 0 30 Mar 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding Seonguk Park Gyubok Lee Manoj Bhat Jimin Seo Minseok Kang Jonathan M Francis Ashwin R. Jadhav Paul Pu Liang Louis-Philippe Morency 136 119 0 06 Mar 2020
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration Hoang Trung-Dung Yitao Liang Guy Van den Broeck OffRL 22 3 0 25 Feb 2020
How Transferable are the Representations Learned by Deep Q Agents? Jacob Tyo Zachary Chase Lipton OffRL 17 6 0 24 Feb 2020
Effective Diversity in Population Based Reinforcement Learning Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts 22 158 0 03 Feb 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 43 188 0 23 Dec 2019
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 44 205 0 25 Nov 2019
Implicit Generative Modeling for Efficient Exploration Neale Ratzlaff Qinxun Bai Fuxin Li Wenyuan Xu 27 12 0 19 Nov 2019
Multi-Path Policy Optimization L. Pan Qingpeng Cai Longbo Huang 18 2 0 11 Nov 2019
Thompson Sampling via Local Uncertainty Zhendong Wang Mingyuan Zhou 16 19 0 30 Oct 2019
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? Ofir Nachum Haoran Tang Xingyu Lu S. Gu Honglak Lee Sergey Levine 29 100 0 23 Sep 2019
Interactive Language Learning by Question Answering Xingdi Yuan Marc-Alexandre Côté Jie Fu Zhouhan Lin C. Pal Yoshua Bengio Adam Trischler 15 46 0 28 Aug 2019
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 27 25 0 13 Aug 2019
Accelerating Reinforcement Learning through GPU Atari Emulation Steven Dalton I. Frosio M. Garland ELM 27 9 0 19 Jul 2019
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning Sebastian Farquhar Michael A. Osborne Y. Gal UQCV BDL 21 57 0 01 Jul 2019
Modern Deep Reinforcement Learning Algorithms Sergey Ivanov A. Dýakonov OffRL 29 39 0 24 Jun 2019
Efficient Exploration via State Marginal Matching Lisa Lee Benjamin Eysenbach Emilio Parisotto Eric Xing Sergey Levine Ruslan Salakhutdinov 35 242 0 12 Jun 2019
When to use parametric models in reinforcement learning? H. V. Hasselt Matteo Hessel John Aslanides 37 189 0 12 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
Self-Supervised Exploration via Disagreement Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 35 375 0 10 Jun 2019
AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning Lu Chen Zhi Chen Bowen Tan Sishan Long Milica Gasic Kai Yu 19 35 0 27 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 17 116 0 27 May 2019
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 16 96 0 31 Mar 2019
Autoregressive Policies for Continuous Control Deep Reinforcement Learning D. Korenkevych A. R. Mahmood Gautham Vasan James Bergstra 29 28 0 27 Mar 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 15 40 0 07 Feb 2019
Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow Hsuan-Kung Yang Po-Han Chiang Kuan-Wei Ho Min-Fong Hong Chun-Yi Lee 35 7 0 24 Jan 2019
Exploration Conscious Reinforcement Learning Revisited Lior Shani Yonathan Efroni Shie Mannor 21 2 0 13 Dec 2018
Active Deep Q-learning with Demonstration Si-An Chen Voot Tangkaratt Hsuan-Tien Lin Masashi Sugiyama 18 32 0 06 Dec 2018
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey Nguyen Cong Luong D. Hoang Shimin Gong Dusit Niyato Ping Wang Ying-Chang Liang Dong In Kim OffRL 57 1,424 0 18 Oct 2018
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning Izumi Karino Kazutoshi Tanaka Ryuma Niiyama Yasuo Kuniyoshi 19 3 0 18 Sep 2018
Policy Optimization as Wasserstein Gradient Flows Ruiyi Zhang Changyou Chen Chunyuan Li Lawrence Carin 16 66 0 09 Aug 2018
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 33 213 0 20 Jun 2018
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 25 529 0 14 Jun 2018
Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network Wenjia Meng Qian Zheng L. Yang Pengfei Li Gang Pan 20 21 0 14 Jun 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 268 0 13 Jun 2018
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 21 372 0 08 Jun 2018
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles Vahid Behzadan Arslan Munir AAML 33 51 0 04 Jun 2018
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning Ramtin Keramati Jay Whang Patrick Cho Emma Brunskill OffRL 29 7 0 01 Jun 2018
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 53 324 0 24 May 2018