sac

21 projetos partilham este topic do GitHub

Linhas conectam membros que estão mensuravelmente relacionados entre si. O tamanho do ponto reflete estrelas.

🧬 Membros

Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Massively Parallel Deep Reinforcement Learning. 🔥

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms…

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep…

Python library for Reinforcement Learning.

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

PyTorch implementation of Soft Actor-Critic (SAC)

DeepRL-TensorFlow2

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Deep-Reinforcement-Learning-With-Python

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with…

Reinforcement Learning Algorithms Based on PyTorch

DrQ: Data regularized Q

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG,…

RAD: Reinforcement Learning with Augmented Data

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It…

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual…

Deep Reinforcement Learning in C#

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

🔗 Familias relacionadas

ppo 39 dqn 43 ddpg 24 a2c 18 a3c 19 td3 8 soft-actor-critic 9 policy-gradient 23

Medido a partir dos tópicos do GitHub compartilhados por ambos os projetos, ponderado pela raridade de cada tópico.