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ant_mujoco

Improving RL agent abilities to solve MuJoCo Ant tasks.

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

dads

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

dreamer

Dream to Control: Learning Behaviors by Latent Imagination

dreamerv2

Mastering Atari with Discrete World Models

drl_gym_pytorch

DRL PyTorch implementations on OpenAI Gym environments

exploration_elliot

gym

A toolkit for developing and comparing reinforcement learning algorithms.

h-baselines

A repository of high-performing hierarchical reinforcement learning models and algorithms.

hac

This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.

hello-world

This is my first repository

hiro_pytorch

Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)

mujoco_tasks

Solving MuJoCo tasks with various RL algorithms for Chapter 1 of my PhD thesis, forked and adapted from p-christ/Deep-Reinforcement-Learning_Algorithms-with-PyTorch

my_cleanrl

my version of the official CleanRL repo

my_tabular-methods

My version of the tabular-methods repo by linesd

phd

PhD work

reinforcement_learning_an_introduction

Notes and exercise solutions for second edition of Sutton & Barto's book

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

snn4hrl

Stochastic Neural Networks for Hierarchical Reinforcement Learning

spinningup

An educational resource to help anyone learn deep reinforcement learning.

tianshou

An elegant PyTorch deep reinforcement learning library.

vime

Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"