Fast Randomized PCA/SVD

In this note, disturbance rejection control (DRC) based on unknown input observation (UIO), and disturbance-observer based control (DOBC) methods are revisited for a class of MIMO systems with mism…

check discussion in updated link: https://github.com/Kin-Zhang/carla-expert/discussions; 用以后续进行方法对比及参考；原：(CVPR 2022) A minimalistic stack for joint perception, prediction, planning and control for …

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All kind of experts that can collect data for e2e learning in CARLA; 根据现有的开源代码，收集的相关experts

Learn how to use CARLA with basic APIs

(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning

[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach

李宏毅2021春季机器学习课程课件及作业

Open-source simulator for autonomous driving research.

Learn how to use git in PyCharm

[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

Interface package to the FlightGear flight simulation software aimed at simplicity

Python 与 C++的交互

Flightgear autopilot with DRL using Python, (Contain Python Interface for FlightGear)

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

PyTorch C++ Reinforcement Learning

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch