idthanm

env_build

The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.

mpg

MPG is originated from the paper "Mixed policy gradient", which also contains a cluster of high-quality implementations of deep reinforcement learning algorithms.

idthanm.github.io

baselines_sil

baselines_toyota_2018

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

exp4dirl

h-DDPG

admm_adp

apex_sac

baselines4dsac

dm_control

The DeepMind Control Suite and Package

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dreamer

Dream to Control: Learning Behaviors by Latent Imagination

dreamerv2

Mastering Atari with Discrete World Models

GamestonkTerminal

The next best thing after Bloomberg Terminal

handful-of-trials

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

Intersections

For toyota project

mbpo

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

mbrl-lib

Library for Model Based RL

obstacle-tower-challenge

Starter Kit for the Unity Obstacle Tower challenge

obstacle-tower-env

Obstacle Tower Environment

otc

used for the competition

ray

A fast and simple framework for building and running distributed applications.

TRARS