Code for paper: Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control.

Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"

MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility

[ICRA'2024] Rethinking Imitation-based Planner for Autonomous Driving

PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation (ECCV 2024)

DreamerV3 implementation of Curious Replay, a method for prioritizing experience replay that is tailored to model-based reinforcement learning agents.

World Model based Autonomous Driving Platform in CARLA 🚗

Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation (AAAI 2021)

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020

TUM Roborace Team Software Stack - Vehicle Simulation

本人的科研经验

MTOpenML: OpenSource Ebook for ML & AI

Implementation for the paper "Adversarial Continual Learning" in PyTorch.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

This is the official code of the paper "Continual Interactive Behavior Learning With Scenarios Divergence Measurement: A Dynamic Gradient Scenario Memory Approach",Yunlong Lin, Zirui Li, Cheng Gong…

Code release for "HarmonyDream: Task Harmonization Inside World Models" (ICML 2024), https://arxiv.org/abs/2310.00344

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

MoDem-V2 combines the sample efficiency of the original MoDem with conservative exploration in order to quickly and safely learn manipulation skills on real robots.

2nd place solution of NIPS2017 LearningToRun Competition.

Code for "Temporal Difference Learning for Model Predictive Control"

Finetuning Offline World Models in the Real World