v1v2v3 (latest)

Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation

6 October 2022

Tao Li

Haozhe Lei

Quanyan Zhu

ArXiv (abs)PDF HTML Github (7★)

Papers citing "Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation"

27 / 27 papers shown

Title
Generalized Proximal Policy Optimization with Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 140 50 0 29 Oct 2021
The Confluence of Networks, Games and Learning Tao Li Guanze Peng Quanyan Zhu Tamer Basar AI4CE 64 47 0 17 May 2021
Blackwell Online Learning for Markov Decision Processes Tao Li Guanze Peng Quanyan Zhu OffRL 52 17 0 28 Dec 2020
Deep Reinforcement Learning amidst Lifelong Non-Stationarity Annie Xie James Harrison Chelsea Finn CLL OffRL 82 65 0 18 Jun 2020
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments Sindhu Padakandla 68 151 0 19 May 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 393 1,979 0 11 Apr 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 345 1,684 0 02 Feb 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning Jianyu Chen Shengbo Eben Li Masayoshi Tomizuka 106 235 0 23 Jan 2020
Continuous Meta-Learning without Tasks James Harrison Apoorva Sharma Chelsea Finn Marco Pavone CLL OOD 78 79 0 18 Dec 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning Praveen Palanisamy 79 143 0 11 Nov 2019
On Convergence Rate of Adaptive Multiscale Value Function Approximation For Reinforcement Learning Tao Li Quanyan Zhu 23 17 0 22 Aug 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 81 656 0 19 Mar 2019
Online Meta-Learning Chelsea Finn Aravind Rajeswaran Sham Kakade Sergey Levine CLL 68 253 0 22 Feb 2019
A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers Pin Wang Ching-yao Chan A. de La Fortelle 64 252 0 21 Apr 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 130 550 0 30 Mar 2018
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 137 5,173 0 10 Nov 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Zhenguo Li Fengwei Zhou Fei Chen Hang Li 96 1,119 0 31 Jul 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 113 1,325 0 30 May 2017
Equivalence Between Policy Gradients and Soft Q-Learning John Schulman Xi Chen Pieter Abbeel OffRL 95 346 0 21 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,909 0 09 Mar 2017
End-to-End Deep Reinforcement Learning for Lane Keeping Assist Ahmad El-Sallab Mohammed Abdou E. Perot S. Yogamani 49 176 0 13 Dec 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 202 8,859 0 04 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,776 0 19 Feb 2015
Online Planning Algorithms for POMDPs Stéphane Ross Joelle Pineau Sébastien Paquet B. Chaib-draa 100 583 0 15 Jan 2014
Anytime Point-Based Approximations for Large POMDPs Joelle Pineau Geoffrey J. Gordon Sebastian Thrun 102 419 0 30 Sep 2011
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 231 3,221 0 02 Nov 2010