Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement

13 October 2021

Tianyu Shi

Papers citing "Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement"

22 / 22 papers shown

Title
Offline Reinforcement Learning using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossing Vinal Asodia Zhenhua Feng Saber Fallah OffRL 37 0 0 11 Apr 2025
Preference-Based Multi-Agent Reinforcement Learning: Data Coverage and Algorithmic Techniques Natalia Zhang X. Wang Qiwen Cui Runlong Zhou Sham Kakade Simon S. Du OffRL 48 0 0 10 Jan 2025
Primal-Dual Spectral Representation for Off-policy Evaluation Yang Hu Tianyi Chen Na Li Kai Wang Bo Dai OffRL 32 0 0 23 Oct 2024
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation Detian Chu Linyuan Bai Jianuo Huang Zhenlong Fang Peng Zhang Wei Kang Haifeng Lin 42 2 0 08 Jul 2024
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing Xinbo Zhao Yingxue Zhang Xin Zhang Yu Yang Yiqun Xie Yanhua Li Jun Luo OffRL 45 2 0 20 Jun 2024
State-Constrained Offline Reinforcement Learning Charles A. Hepburn Yue Jin Giovanni Montana OffRL 35 0 0 23 May 2024
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset Dongsu Lee Chanin Eom Minhae Kwon GP OffRL 24 5 0 03 Apr 2024
Context-aware LLM-based Safe Control Against Latent Risks Quang Khanh Luu Xiyu Deng Anh Van Ho Yorie Nakahira 54 4 0 18 Mar 2024
Learning Goal-Conditioned Policies from Sub-Optimal Offline Data via Metric Learning Alfredo Reichlin Miguel Vasco Hang Yin Danica Kragic OffRL 24 0 0 16 Feb 2024
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning Yixiang Shan Zhengbang Zhu Ting Long Qifan Liang Yi-Ju Chang Weinan Zhang Liang Yin OffRL 42 1 0 05 Feb 2024
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching Guanghe Li Yixiang Shan Zhengbang Zhu Ting Long Weinan Zhang OffRL 26 9 0 04 Feb 2024
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments Zenan Li Fan Nie Q. Sun Fang Da Hang Zhao OffRL 23 3 0 28 Sep 2023
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills Zenan Li Fan Nie Q. Sun Fang Da Hang Zhao OffRL 36 6 0 24 Sep 2023
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 24 18 0 12 Jul 2023
Rethinking Closed-loop Training for Autonomous Driving Chris Zhang R. Guo Wenyuan Zeng Yuwen Xiong Binbin Dai Rui Hu Mengye Ren R. Urtasun OffRL 31 29 0 27 Jun 2023
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem Paul Barde Jakob N. Foerster Derek Nowrouzezahrai Amy Zhang OffRL 22 8 0 26 May 2023
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning Carolin Schmidt Daniele Gammelli Francisco Câmara Pereira Filipe Rodrigues OffRL 14 4 0 28 Feb 2023
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation Xiaoteng Ma Zhipeng Liang Jose H. Blanchet MingWen Liu Li Xia Jiheng Zhang Qianchuan Zhao Zhengyuan Zhou OOD OffRL 41 22 0 14 Sep 2022
An Empirical Study of Implicit Regularization in Deep Offline RL Çağlar Gülçehre Srivatsan Srinivasan Jakub Sygnowski Georg Ostrovski Mehrdad Farajtabar Matt Hoffman Razvan Pascanu Arnaud Doucet OffRL 14 16 0 05 Jul 2022
Offline Reinforcement Learning for Road Traffic Control Mayuresh Kunjir S. Chawla OffRL 32 4 0 07 Jan 2022
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 599 0 22 Sep 2016