Stars
[ECCV 2024] 3D World Model for Autonomous Driving
SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
HCRL: Safe Parking Path Planning Algorithm for Narrow Environments
The library of implementation of the analytic Reeds Shepp curve. Forked from (here)[https://github.com/ghliu/pyReedsShepp]
Reinforcement Learning-based Hybrid Policy Path Planning in Diverse Parking Scenarios
Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
Simulation of car parking in different parking lots using Unity ML-Agents
Car orientation detection and reinforcement learning parking
Implementation of Reinforcement Learning Agent using Deep Deterministic Policy Gradient Algorithm for Parking Vehicle in Carla simulator
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
reinforcement learning based agents for self-driving in CARLA
🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement Learning (DRL) in the CARLA simulator with the help of Stable…
Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning
PyTorch implementation of the GradNorm
[ICLR 2024 Spotlight] Unified Human-Scene Interaction via Prompted Chain-of-Contacts
POCE: Primal Policy Optimization with Conservative Estimation forMulti-constraint Offline Reinforcement Learning
Official code for the paper: Continual Task Allocation in Meta-Policy Network via Sparse Prompting
My blogs and code for machine learning. http://cnblogs.com/pinard
Official Implementation of Safe Latent Diffusion for Text2Image
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"