An Invitation to Deep Reinforcement Learning

An Invitation to Deep Reinforcement Learning

13 December 2023

Bernhard Jaeger

Papers citing "An Invitation to Deep Reinforcement Learning"

9 / 9 papers shown

Title
CaRL: Learning Scalable Planning Policies with Simple Rewards Bernhard Jaeger D. Dauner Jens Beißwenger Simon Gerstenecker Kashyap Chitta Andreas Geiger 49 0 0 24 Apr 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 41 5 0 12 Mar 2024
End-to-end Autonomous Driving: Challenges and Frontiers Li Chen Peng Wu Kashyap Chitta Bernhard Jaeger Andreas Geiger Hongyang Li 3DV 34 260 0 29 Jun 2023
Human-level Atari 200x faster Steven Kapturowski Victor Campos Ray Jiang Nemanja Rakićević Hado van Hasselt Charles Blundell Adria Puigdomenech Badia OffRL 41 28 0 15 Sep 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 85 178 0 16 May 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 303 11,881 0 04 Mar 2022
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics Chen Huang Shuangfei Zhai Pengsheng Guo J. Susskind 33 11 0 21 Apr 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,944 0 04 May 2020
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,225 0 30 Nov 2018