Rainbow: Combining Improvements in Deep Reinforcement Learning

6 October 2017

Dan Horgan

Bilal Piot

M. G. Azar

David Silver

OffRL

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Papers citing "Rainbow: Combining Improvements in Deep Reinforcement Learning"

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Title
Return-Based Contrastive Representation Learning for Reinforcement Learning Guoqing Liu Chuheng Zhang Li Zhao Tao Qin Jinhua Zhu Jian Li Nenghai Yu Tie-Yan Liu SSL OffRL 11 47 0 22 Feb 2021
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning Baiyu Peng Yao Mu Jingliang Duan Yang Guan Shengbo Eben Li Jianyu Chen 53 19 0 17 Feb 2021
Generalizing Decision Making for Automated Driving with an Invariant Environment Representation using Deep Reinforcement Learning Karl Kurzer Philip Schorner Alexander Albers Hauke Thomsen Karam Daaboul Johann Marius Zöllner 25 10 0 12 Feb 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review Rongrong Liu F. Nageotte P. Zanne M. de Mathelin Birgitta Dresp 45 143 0 08 Feb 2021
E-commerce warehousing: learning a storage policy Adrien Rimélé P. Grangier M. Gamache M. Gendreau Louis-Martin Rousseau 17 6 0 21 Jan 2021
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments Timothée Anne Jack Wilkinson Zhibin Li 26 1 0 19 Jan 2021
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Y. Fu Zhongzhi Yu Yongan Zhang Yingyan Lin 22 4 0 24 Dec 2020
Social NCE: Contrastive Learning of Socially-aware Motion Representations Yuejiang Liu Qi Yan Alexandre Alahi 29 101 0 21 Dec 2020
Mobile Robot Planner with Low-cost Cameras Using Deep Reinforcement Learning M. Tran N. Ly 11 1 0 21 Dec 2020
Planning from Pixels in Atari with Learned Symbolic Representations Andrea Dittadi Frederik K. Drachmann Thomas Bolander 26 11 0 16 Dec 2020
BeBold: Exploration Beyond the Boundary of Explored Regions Tianjun Zhang Huazhe Xu Xiaolong Wang Yi Wu Kurt Keutzer Joseph E. Gonzalez Yuandong Tian 36 40 0 15 Dec 2020
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research J. Obando-Ceron Pablo Samuel Castro OffRL 9 105 0 20 Nov 2020
Adaptive Contention Window Design using Deep Q-learning Abhishek Kumar Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra 13 34 0 18 Nov 2020
Proximal Policy Optimization via Enhanced Exploration Efficiency Junwei Zhang Zhenghao Zhang Shuai Han Shuai Lu 29 41 0 11 Nov 2020
Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification Davide Corsi Enrico Marchesini Alessandro Farinelli OffRL 14 2 0 19 Oct 2020
Masked Contrastive Representation Learning for Reinforcement Learning Jinhua Zhu Yingce Xia Lijun Wu Jiajun Deng Wen-gang Zhou Tao Qin Houqiang Li SSL OffRL 34 55 0 15 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 48 810 0 05 Oct 2020
Improving Generative Imagination in Object-Centric World Models Zhixuan Lin Yi-Fu Wu Skand Peri Bofeng Fu Jindong Jiang Sungjin Ahn OCL 27 80 0 05 Oct 2020
Finite-Time Analysis for Double Q-learning Huaqing Xiong Linna Zhao Yingbin Liang Wei Zhang 9 31 0 29 Sep 2020
Queueing Network Controls via Deep Reinforcement Learning J. Dai Mark O. Gluzman OffRL 32 50 0 31 Jul 2020
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer E. Liu Ramtin Keramati Sudarshan Seshadri Kelvin Guu Panupong Pasupat Emma Brunskill Percy Liang OffRL 21 5 0 12 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 11 199 0 09 Jul 2020
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning Eric Steinberger Adam Lerer Noam Brown 30 53 0 18 Jun 2020
Reinforcement Learning with Supervision from Noisy Demonstrations Kun-Peng Ning Sheng-Jun Huang 6 7 0 14 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 116 6,655 0 13 Jun 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning Yunhao Tang SSL 27 24 0 12 Jun 2020
SAMBA: Safe Model-Based & Active Reinforcement Learning Alexander I. Cowen-Rivers Daniel Palenicek Vincent Moens Mohammed Abdullah Aivar Sootla Jun Wang Haitham Bou-Ammar 21 44 0 12 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 60 225 0 01 Jun 2020
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation Taiyu Zhu Kezhi Li P. Herrero Pantelis Georgiou 16 79 0 18 May 2020
Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners Rodrigo Canaan Xianbo Gao Youjin Chung Julian Togelius Andy Nealen Stefan Menzel 16 4 0 28 Apr 2020
Controlling Rayleigh-Bénard convection via Reinforcement Learning Gerben Beintema Alessandro Corbetta Luca Biferale F. Toschi AI4CE 25 79 0 31 Mar 2020
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming Ali Payani Faramarz Fekri 21 18 0 23 Mar 2020
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning Yong Zeng Xiaoli Xu Shi Jin Rui Zhang 9 164 0 17 Mar 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 30 101 0 21 Feb 2020
LaProp: Separating Momentum and Adaptivity in Adam Liu Ziyin Zhikang T.Wang Masahito Ueda ODL 8 18 0 12 Feb 2020
Discrete and Continuous Action Representation for Practical RL in Video Games Olivier Delalleau Maxim Peter Eloi Alonso Adrien Logut 17 52 0 23 Dec 2019
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 37 188 0 23 Dec 2019
Monte-Carlo Tree Search for Policy Optimization Xiaobai Ma Katherine Driggs-Campbell Zongzhang Zhang Mykel J. Kochenderfer 20 6 0 23 Dec 2019
Direct and indirect reinforcement learning Yang Guan Shengbo Eben Li Jingliang Duan Jie Li Yangang Ren Qi Sun B. Cheng OffRL 35 34 0 23 Dec 2019
Learning to Dynamically Coordinate Multi-Robot Teams in Graph Attention Networks Zheyuan Wang Matthew C. Gombolay 18 7 0 04 Dec 2019
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 22 541 0 03 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
Worst Cases Policy Gradients Yichuan Tang Jian Zhang Ruslan Salakhutdinov 13 75 0 09 Nov 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces Mikael Henaff OffRL 16 31 0 01 Nov 2019
Quantum enhancements for deep reinforcement learning in large spaces Sofiene Jerbi Lea M. Trenkwalder Hendrik Poulsen Nautrup H. Briegel Vedran Dunjko 24 5 0 28 Oct 2019
Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning Michael Everett Yu Fan Chen Jonathan P. How OffRL 17 169 0 24 Oct 2019
Dealing with Sparse Rewards in Reinforcement Learning J. Hare 18 77 0 21 Oct 2019
Adaptive Trade-Offs in Off-Policy Learning Mark Rowland Will Dabney Rémi Munos OffRL 14 22 0 16 Oct 2019
Deep Q-Network for Angry Birds L. Sy S. Redmond 11 5 0 04 Oct 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms Shih-Han Chou Wen-Yen Chang W. Hsu Jianlong Fu OffRL 13 181 0 03 Oct 2019