LWANG0413

LWANG0413's Stars

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python33.7k47218.8k5.7k

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.2k3243232.6k

• DLR-RM/stable-baselines3

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

  Language:Python9k651.5k1.7k

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python7.9k917461.1k

• AI4Finance-Foundation/ElegantRL

  Massively Parallel Deep Reinforcement Learning. 🔥

  Language:Python3.7k51258850

• openai/mujoco-py

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

  Language:Cython2.9k197645815

• svip-lab/impersonator

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

  Language:Python1.7k6577316

• Kaixhin/Rainbow

  Rainbow: Combining Improvements in Deep Reinforcement Learning

  Language:Python1.6k4170283

• Farama-Foundation/D4RL

  A collection of reference environments for offline reinforcement learning

  Language:Python1.3k20172285

• openai/random-network-distillation

  Code for the paper "Exploration by Random Network Distillation"

  Language:Python8762620160

• kchua/handful-of-trials

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

  Language:Python430141898

• aravindr93/mjrl

  Reinforcement learning algorithms for MuJoCo tasks

  Language:Python3591625102

• david-abel/simple_rl

  A simple framework for experimenting with Reinforcement Learning in Python.

  Language:Python272192295

• Kchu/DeepRL_PyTorch

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

  Language:Python2024231

• watchernyu/REDQ

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

  Language:Python1495718

• pokaxpoka/sunrise

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

  Language:Python1196429

• microsoft/oac-explore

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

  Language:Python6871123

• mattcamp/deepracer-local

  Language:Python509536

• xtma/dsac

  Distributional Soft Actor Critic

  Language:Python491510

• sebascuri/hucrl

  Language:Python30245