set of my solutions to Berkley CS 294: Deep Reinforcement Learning, Spring 2017 problems

This Repo contains my work for Udacity Self Driving cars Nano Degree Project 3

A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env

😺 Imitation Learning based on A3C algorithm 🛠

A TF implementation of DAgger and Behavior Cloning on MuJoCo Tasks

Implementations of model-based Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

experiments with least squares for imitation learning

gail, infogail, hierarchical gail implementations

Reinforcement Learning -- Imitation Learning, Behavior Cloning, DAgger (Data Aggregation)

End to end learning to autonomously drive vehicle in simulation

Tensorflow implementation of generative adversarial imitation learning

Learning of the motion trajectory of a handwriting for a KUKA LWR robot to immitate and reproduce.

Deep Reinforcement Learning algorithms implemented in PyTorch

This is an implementation of the paper "Coordinated Multi Agent Imitation Learning", or the Sloan version "Data-Driven Ghosting using Deep Imitation Learning" using Tensorflow

Pacman Driving Simulator

Carla Imitation Learning Trainer

research, knowledge and skill. resources and notes of machine learning, reinforcement learning, deep learning, inverse reinforcement learning, imitation learning.