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An Invitation to Deep Reinforcement Learning

13 December 2023

Papers citing "An Invitation to Deep Reinforcement Learning"

50 / 108 papers shown

Title
CaRL: Learning Scalable Planning Policies with Simple Rewards Bernhard Jaeger D. Dauner Jens Beißwenger Simon Gerstenecker Kashyap Chitta Andreas Geiger 127 2 0 24 Apr 2025
Causally Aligned Curriculum Learning Mingxuan Li Junzhe Zhang Elias Bareinboim CML 102 4 0 21 Mar 2025
VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training Mohammad Nazeri Junzhe Wang Amirreza Payandeh Xuesu Xiao SSL ViT 101 8 0 12 Mar 2024
Diffusion Model Alignment Using Direct Preference Optimization Bram Wallace Meihua Dang Rafael Rafailov Linqi Zhou Aaron Lou Senthil Purushwalkam Stefano Ermon Caiming Xiong Shafiq Joty Nikhil Naik EGVM 159 288 0 21 Nov 2023
Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment Tianhao Wu Banghua Zhu Ruoyu Zhang Zhaojin Wen Kannan Ramchandran Jiantao Jiao 106 61 0 30 Sep 2023
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware Nico Gürtler Sebastian Blaes Pavel Kolev Felix Widmaier Manuel Wüthrich Stefan Bauer Bernhard Schölkopf Georg Martius OffRL 100 30 0 28 Jul 2023
End-to-end Autonomous Driving: Challenges and Frontiers Li Chen Peng Wu Kashyap Chitta Bernhard Jaeger Andreas Geiger Hongyang Li 3DV 199 317 0 29 Jun 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency Max Schwarzer J. Obando-Ceron Rameswar Panda Marc G. Bellemare Rishabh Agarwal Pablo Samuel Castro OffRL 124 102 0 30 May 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model Rafael Rafailov Archit Sharma E. Mitchell Stefano Ermon Christopher D. Manning Chelsea Finn ALM 405 4,187 0 29 May 2023
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models Ying Fan Olivia Watkins Yuqing Du Hao Liu Moonkyung Ryu Craig Boutilier Pieter Abbeel Mohammad Ghavamzadeh Kangwook Lee Kimin Lee 167 167 0 25 May 2023
Training Diffusion Models with Reinforcement Learning Kevin Black Michael Janner Yilun Du Ilya Kostrikov Sergey Levine EGVM 158 379 0 22 May 2023
A Tutorial Introduction to Reinforcement Learning M. Vidyasagar 58 6 0 03 Apr 2023
Tuning computer vision models with task rewards André Susano Pinto Alexander Kolesnikov Yuge Shi Lucas Beyer Xiaohua Zhai VLM 85 41 0 16 Feb 2023
Mastering Diverse Domains through World Models Danijar Hafner J. Pašukonis Jimmy Ba Timothy Lillicrap 94 617 0 10 Jan 2023
General Intelligence Requires Rethinking Exploration Minqi Jiang Tim Rocktaschel Edward Grefenstette LRM 81 20 0 15 Nov 2022
Redeeming Intrinsic Rewards via Constrained Optimization Eric Chen Zhang-Wei Hong Joni Pajarinen Pulkit Agrawal OnRL 111 27 0 14 Nov 2022
Human-level Atari 200x faster Steven Kapturowski Victor Campos Ray Jiang Nemanja Rakićević Hado van Hasselt Charles Blundell Adria Puigdomenech Badia OffRL 94 30 0 15 Sep 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 112 38 0 03 Jul 2022
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning Julien Perolat Bart De Vylder Daniel Hennes Eugene Tarassov Florian Strub ... Rémi Munos David Silver Satinder Singh Demis Hassabis K. Tuyls 101 206 0 30 Jun 2022
The Phenomenon of Policy Churn Tom Schaul André Barreto John Quan Georg Ostrovski 89 28 0 01 Jun 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Rameswar Panda OnRL 150 197 0 16 May 2022
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen ... Jack Clark Sam McCandlish C. Olah Benjamin Mann Jared Kaplan 262 2,630 0 12 Apr 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 936 13,282 0 04 Mar 2022
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems Rafael Figueiredo Prudencio Marcos R. O. A. Máximo Esther Luna Colombini OffRL 111 244 0 02 Mar 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 116 125 0 02 Mar 2022
Learning robust perceptive locomotion for quadrupedal robots in the wild Takahiro Miki Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 137 716 0 20 Jan 2022
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving Raphael Chekroun Marin Toromanoff Sascha Hornauer Fabien Moutarde 92 61 0 16 Nov 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 190 680 0 30 Aug 2021
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach Zhejun Zhang Alexander Liniger Dengxin Dai Feng Yu Luc Van Gool 116 211 0 18 Aug 2021
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto OffRL 133 353 0 20 Jul 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 196 1,669 0 02 Jun 2021
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics Chen Huang Shuangfei Zhai Pengsheng Guo J. Susskind 97 12 0 21 Apr 2021
Reinforcement Learning, Bit by Bit Xiuyuan Lu Benjamin Van Roy Vikranth Dwaracherla M. Ibrahimi Ian Osband Zheng Wen 126 70 0 06 Mar 2021
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design Michael Dennis Natasha Jaques Eugene Vinitsky Alexandre M. Bayen Stuart J. Russell Andrew Critch Sergey Levine 114 237 0 03 Dec 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 381 4,083 0 20 Nov 2020
Learning Quadrupedal Locomotion over Challenging Terrain Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 164 1,185 0 21 Oct 2020
Prioritized Level Replay Minqi Jiang Edward Grefenstette Tim Rocktaschel OffRL 128 160 0 08 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 192 876 0 05 Oct 2020
Phasic Policy Gradient K. Cobbe Jacob Hilton Oleg Klimov John Schulman OffRL 78 160 0 09 Sep 2020
Learning to summarize from human feedback Nisan Stiennon Long Ouyang Jeff Wu Daniel M. Ziegler Ryan J. Lowe Chelsea Voss Alec Radford Dario Amodei Paul Christiano ALM 304 2,195 0 02 Sep 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 103 105 0 21 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... Matthieu Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 92 225 0 10 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 1.2K 42,712 0 28 May 2020
Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO Logan Engstrom Andrew Ilyas Shibani Santurkar Dimitris Tsipras Firdaus Janoos L. Rudolph Aleksander Madry AAML 87 229 0 25 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 582 2,051 0 04 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 165 661 0 30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 183 794 0 28 Apr 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 108 365 0 27 Apr 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 231 2,073 0 16 Apr 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 109 521 0 30 Mar 2020