LWANG0413

mjrl

Reinforcement learning algorithms for MuJoCo tasks

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

hucrl

handful-of-trials

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

REDQ

Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.

Rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

DeepRL_PyTorch

Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

dsac

Distributional Soft Actor Critic

tianshou

An elegant PyTorch deep reinforcement learning library.

oac-explore

Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)

D4RL

A collection of reference environments for offline reinforcement learning

simple_rl

A simple framework for experimenting with Reinforcement Learning in Python.

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

ElegantRL

Massively Parallel Deep Reinforcement Learning. 🔥

sunrise

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

random-network-distillation

Code for the paper "Exploration by Random Network Distillation"

impersonator

PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

deepracer-local