Distributional Soft Actor Critic

ApacheCN 深度学习译文集

Implement Motion Planning for autonomous car on CARLA simulator

Reinforcement-Learning-for-Decision-Making-in-self-driving-cars

The code is for paper "Representation Learning and Reinforcement Learning for Dynamic Complex Motion Planning System".

DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic

港科大的丁文超的代码

Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.

Summary of LLM for Autonomous Driving papers (continuously updated)

LimSim & LimSim++: Integrated traffic and autonomous driving simulators with (M)LLM support

A curated list of awesome LLM for Autonomous Driving resources (continually updated)

D3QN Pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

kinds of reinforcement learning model by Pytorch

Reinforcement Learning Agents for Solving HighwayEnv's RaceTrackEnv

RL algorithms

Applying Constrained Policy Networks on Highway Environment

An open access book on scientific visualization using python and matplotlib

A frenet optimal trajectories planner for onsite

Sliding mode controller for tracking trajectory of an autonomous vehicle.

「数据分析师」项目练习、参考资料

Tools for launching multiple processes and for writing tests involving multiple processes.

C++ Primer 第五版中文版 习题答案代码

Python sample codes for robotics algorithms.