Pinned Repositories
2020_CARLA_challenge
"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge
apollo
An open autonomous driving platform
argoverse-forecasting
Official Repository for Argoverse Motion Forecasting Baselines
AutomotiveSafeRL
Training and evaluation scripts for applying formal methods and reinforcement learning to autonomous driving problems.
AutonomousMerging.jl
Implementation of a highway merging scenario
AutonomousPlatooning
Control system for a platoon of autonomous vehicles
Awesome-Trajectory-Prediction
BayesianRLForAutonomousDriving
risk_assess
RL-MPC-LaneMerging
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging
yangkaia123's Repositories
yangkaia123/risk_assess
yangkaia123/argoverse-forecasting
Official Repository for Argoverse Motion Forecasting Baselines
yangkaia123/belief-planning
yangkaia123/DIPP
Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving https://mczhi.github.io/DIPP/
yangkaia123/Dual_Control_HRI
Implementation of implicit dual control-based active uncertainty learning for human-robot interaction.
yangkaia123/EnsembleQuantileNetworks
yangkaia123/go-mpc
This repository will contain the code used for the IEEE RA-L + ICRA 2021 publication: "Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians"
yangkaia123/HAICU
yangkaia123/highway-env
A minimalist environment for decision-making in autonomous driving
yangkaia123/macad-gym
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
yangkaia123/MARL_CAVs
MARL for autonomous vehicles.
yangkaia123/Mava
A library of multi-agent reinforcement learning components and systems
yangkaia123/MIDAS
Code for the paper: "MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation"
yangkaia123/ml-casadi
Use PyTorch Models with CasADi and Acados
yangkaia123/mmdrl
Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354
yangkaia123/mmTransformer
[CVPR 2021] "Multimodal Motion Prediction with Stacked Transformers": official code implementation and project page.
yangkaia123/model3dbc
DBC file for Tesla Model 3 CAN messages
yangkaia123/Motion-Planning-for-Autonomous-Driving-with-MPC
Motion Planning for Autonomous Driving using Model Predictive Control based on CommonRoad Framework.
yangkaia123/MPCC
Model Predictive Contouring Controller (MPCC) for Autonomous Racing
yangkaia123/MTR
MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.
yangkaia123/Off2OnRL
yangkaia123/OpenCDA
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
yangkaia123/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
yangkaia123/Safe_Occlusion_Aware_Planning
Repository for "Safe Occlusion-aware Autonomous Driving via Game-Theoretic Active Perception" - RSS 2021
yangkaia123/safeRL
Safe Reinforcement Learning algorithms
yangkaia123/shifts
This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.
yangkaia123/Shifts_evaluation_metrics_regression
This repository contains the code for reproducing the results of our evaluation metrics on regression tasks.
yangkaia123/TCP
This repository contains the code for the paper Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.
yangkaia123/TNT-Trajectory-Predition
A Pytorch Implementation of TNT: Target-driveN Trajectory Prediction
yangkaia123/Trajectory-Planning-for-Autonomous-Vehicles-Using-HRL
This file contains code used for a full end-to-end framework for Autonomous Vehicle's lane change using Hierarchical Reinforcement Learning under Noisy Observations