mayining1991

Driving-IRL-NGSIM

[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

BingyuZhou.github.io

My blog

Advanced-Planning-Using-RL

Implements the algorithm introduced in the paper "Advanced Planning for Autonomous Vehicles using Reinforcement Learning and Deep Inverse Reinforcement Learning" published in Robotics and Autonomous Systems, Vol. 114, pp. 1-18, 2019

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

Scenic

A compiler and scenario generator for the Scenic scenario description language.

HighwayEnv

A minimalist environment for decision-making in autonomous driving

lets-do-irl

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

toyCarIRL

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

irl-imitation

Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Inverse-Reinforcement-Learning

Implementations of selected inverse reinforcement learning algorithms.

inverse_rl

Implementing the two pioneering IRL papers "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000) and "Maximum Entropy Inverse Reinforcement Learning" - (Ziebart et al. 2008)

MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

MA-AIRL

Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.

airl

learning robust rewards with adversarial inverse reinforcement learning

summit

The SUMMIT simulator

adversarial-policies

Find best-response to a fixed policy in multi-agent RL

ReachabilityAnalysisForManeuverPrimitives

This is an attempt at implementation of algoirthm for steering initial set of states (described as a zonotope) into a smaller reachable set (to allow combination of primitive maneuvers) from Schurmann and Althoff, 2017c. The code requires installation of CORA (for reachability analysis) and CVX (for convex optimization) toolboxes. Algorithm is applied to quadrotor longitudinal dynamics from Mitchell et al, 2016.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

self-driving-car

The Udacity open source self-driving car project

machine-learning-startup

面向完全无基础的入门级科普文

IV19

My 10 takeaways from the 2019 Intelligent Vehicle Symposium

Social-context-based-agent-Vehicle-trajectory-prediction

An RNN graphical model architecture

Vehicle-Trajectory-Prediction-on-NGSIM

conv-social-pooling

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

RoadTrafficSimulator

Road traffic simulator and signals optimizer in CoffeeScript & HTML5

Social_lstm_pedestrian_prediction

Modification of the paper "Social LSTM: Human Trajectory Prediction in Crowded Space" with the insertion of a new way to take into account social information and the consideration of the pedestrian goal.