Stars
Hybrid-Prediction Integrated Planning for Autonomous Driving
PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.
A curated list of peer-reviewed papers on theoretical and practical aspects of drivers' attention used for paper "Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms …
This repository is the implementation of "Robust Multi-Objective Reinforcement Learning Considering Environmental Uncertainties".
[Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning
[TPAMI, 2023] Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving
(TPAMI) Human-guided Reinforcement Learning with Sim-to-real Transfer for Autonomous Navigation
This repository contains PyTorch implementations of reinforcement learning algorithms. Its purpose is to provide straightforward and easily understandable code for individuals to learn about basic …
[TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving
(Engineering) Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving
(TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving