Turbo's repositories

FNI-RL

[TPAMI, 2023] Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving

Language:PythonStargazers:33Issues:2Issues:0

PRC-CMORL

[Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning

RL-PyT

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 reinforcement learning algorithms.

RMORL

This repository is the implementation of "Robust Multi-Objective Reinforcement Learning Considering Environmental Uncertainties".

DARRL

This repository is the implementation of our research "Trustworthy Autonomous Driving via Defense-Aware Robust Reinforcement Learning against Worst-Case Observational Perturbations".