An Introduction to Deep Reinforcement Learning

30 November 2018

Vincent François-Lavet

Papers citing "An Introduction to Deep Reinforcement Learning"

50 / 178 papers shown

Title
Improving the Efficiency of a Deep Reinforcement Learning-Based Power Management System for HPC Clusters Using Curriculum Learning Thomas Budiarjo Santana Yuda Pradata Kadek Gemilang Santiyuda Muhammad Alfian Amrizal Reza Pulungan Hiroyuki Takizawa 71 0 0 27 Feb 2025
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Lucía Güitta-López Jaime Boal Álvaro J. López-López 78 5 0 24 Jan 2025
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning Kaiyan Zhao Yiming Wang Yuyang Chen Yan Li Leong Hou U Xiaoguang Niu 65 1 0 27 Oct 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning Subhojyoti Mukherjee Josiah P. Hanna Qiaomin Xie Robert Nowak 149 2 0 07 Jun 2024
Large Language Models for Cyber Security: A Systematic Literature Review HanXiang Xu Shenao Wang Ningke Li Kaidi Wang Yanjie Zhao Kai Chen Ting Yu Yang Liu Haoyu Wang 76 33 0 08 May 2024
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 102 5 0 13 Dec 2023
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning Eivind Meyer Amalie Heiberg Adil Rasheed Omer San 59 74 0 16 Jun 2020
Two Decades of AI4NETS-AI/ML for Data Networks: Challenges & Research Directions P. Casas GNN 48 8 0 03 Mar 2020
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform J. Gauci Edoardo Conti Yitao Liang Kittipat Virochsiri Yuchen He Zachary Kaden Vivek Narayanan Xiaohui Ye Zhengxing Chen Scott Fujimoto 44 139 0 01 Nov 2018
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 95 1,310 0 30 Oct 2018
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning Natasha Jaques Angeliki Lazaridou Edward Hughes Çağlar Gülçehre Pedro A. Ortega D. Strouse Joel Z Leibo Nando de Freitas 48 57 0 19 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 94 144 0 15 Oct 2018
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience Yevgen Chebotar Ankur Handa Viktor Makoviychuk Miles Macklin J. Issac Nathan D. Ratliff Dieter Fox 66 503 0 12 Oct 2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL T. Paine Sergio Gomez Colmenarejo Ziyun Wang Scott E. Reed Y. Aytar ... Matthew W. Hoffman Gabriel Barth-Maron Serkan Cabi David Budden Nando de Freitas OffRL 40 25 0 11 Oct 2018
Episodic Curiosity through Reachability Nikolay Savinov Anton Raichuk Raphaël Marinier Damien Vincent Marc Pollefeys Timothy Lillicrap Sylvain Gelly 39 267 0 04 Oct 2018
Combined Reinforcement Learning via Abstract Representations Vincent François-Lavet Yoshua Bengio Doina Precup Joelle Pineau OffRL 47 89 0 12 Sep 2018
Multi-task Deep Reinforcement Learning with PopArt Matteo Hessel Hubert Soyer L. Espeholt Wojciech M. Czarnecki Simon Schmitt H. V. Hasselt 86 316 0 12 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 74 813 0 07 Sep 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 98 1,454 0 27 Jun 2018
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning Amy Zhang Nicolas Ballas Joelle Pineau CLL OffRL 52 177 0 20 Jun 2018
Playing hard exploration games by watching YouTube Y. Aytar Tobias Pfaff David Budden T. Paine Ziyun Wang Nando de Freitas 57 270 0 29 May 2018
Decoupling Dynamics and Reward for Transfer Learning Amy Zhang Harsh Satija Joelle Pineau OOD 35 72 0 27 Apr 2018
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots Jie Tan Tingnan Zhang Erwin Coumans Atil Iscen Yunfei Bai Danijar Hafner Steven Bohez Vincent Vanhoucke 70 798 0 27 Apr 2018
A Study on Overfitting in Deep Reinforcement Learning Chiyuan Zhang Oriol Vinyals Rémi Munos Samy Bengio OffRL OnRL 48 386 0 18 Apr 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch Martin Riedmiller Roland Hafner Thomas Lampe Michael Neunert Jonas Degrave T. Wiele Volodymyr Mnih N. Heess Jost Tobias Springenberg 68 446 0 28 Feb 2018
An Analysis of Categorical Distributional Reinforcement Learning Mark Rowland Marc G. Bellemare Will Dabney Rémi Munos Yee Whye Teh 44 101 0 22 Feb 2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents Nick Haber Damian Mrowca Li Fei-Fei Daniel L. K. Yamins LRM 55 117 0 21 Feb 2018
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation Miles Brundage S. Avin Jack Clark H. Toner P. Eckersley ... Owain Evans Michael Page Joanna J. Bryson Roman V. Yampolskiy Dario Amodei 71 698 0 20 Feb 2018
Learning Robust Dialog Policies in Noisy Environments Maryam Fazel-Zarandi Shang-Wen Li Jin Cao Jared Casale Peter Henderson David Whitney A. Geramifard 65 24 0 11 Dec 2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning Gregory Farquhar Tim Rocktaschel Maximilian Igl Shimon Whiteson OffRL 54 71 0 31 Oct 2017
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 77 756 0 27 Oct 2017
Asymmetric Actor Critic for Image-Based Robot Learning Lerrel Pinto Marcin Andrychowicz Peter Welinder Wojciech Zaremba Pieter Abbeel OffRL 47 367 0 18 Oct 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 94 2,255 0 06 Oct 2017
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces Garrett A. Warnell Nicholas R. Waytowich Vernon J. Lawhern Peter Stone 40 267 0 28 Sep 2017
The Consciousness Prior Yoshua Bengio DRL AI4CE 37 229 0 25 Sep 2017
On overfitting and asymptotic bias in batch reinforcement learning with partial observability Vincent François-Lavet Guillaume Rabusseau Joelle Pineau D. Ernst R. Fonteneau OffRL 32 33 0 22 Sep 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 108 1,940 0 19 Sep 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Marlos C. Machado Marc G. Bellemare Erik Talvitie J. Veness Matthew J. Hausknecht Michael Bowling 63 549 0 18 Sep 2017
Learning with Opponent-Learning Awareness Jakob N. Foerster Richard Y. Chen Maruan Al-Shedivat Shimon Whiteson Pieter Abbeel Igor Mordatch 74 536 0 13 Sep 2017
StarCraft II: A New Challenge for Reinforcement Learning Oriol Vinyals T. Ewalds Sergey Bartunov Petko Georgiev A. Vezhnevets ... Anthony Brunasso David Lawrence Anders Ekermo J. Repp Rodney Tsing 53 868 0 16 Aug 2017
Benchmark Environments for Multitask Learning in Continuous Domains Peter Henderson Wei-Di Chang Florian Shkurti Johanna Hansen David Meger Gregory Dudek 29 40 0 14 Aug 2017
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control Riashat Islam Peter Henderson Maziar Gomrokchi Doina Precup BDL OffRL 42 251 0 10 Aug 2017
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 76 967 0 08 Aug 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning I. Higgins Arka Pal Andrei A. Rusu Loic Matthey Christopher P. Burgess Alexander Pritzel M. Botvinick Charles Blundell Alexander Lerchner DRL 100 413 0 26 Jul 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 77 1,497 0 21 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 243 18,685 0 20 Jul 2017
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 70 552 0 19 Jul 2017
Learning model-based planning from scratch Razvan Pascanu Yujia Li Oriol Vinyals N. Heess Lars Buesing S. Racanière David P. Reichert T. Weber Daan Wierstra Peter W. Battaglia LM&Ro 86 97 0 19 Jul 2017
Distral: Robust Multitask Reinforcement Learning Yee Whye Teh V. Bapst Wojciech M. Czarnecki John Quan J. Kirkpatrick R. Hadsell N. Heess Razvan Pascanu 123 551 0 13 Jul 2017
Value Prediction Network Junhyuk Oh Satinder Singh Honglak Lee 65 332 0 11 Jul 2017