An elegant PyTorch deep reinforcement learning library.
翻译 - 优雅,灵活和超快的PyTorch深度强化学习平台。
#算法刷题#PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
翻译 - DQN、AC、ACER、A2C、A3C、PG、DDPG、TRPO、PPO、SAC、TD3 和...的 PyTorch 实现。
Massively Parallel Deep Reinforcement Learning. 🔥
翻译 - 使用Pytorch的深度加强学习算法轻量级,高效稳定的实现。
#计算机科学#Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
#计算机科学#Python library for Reinforcement Learning.
#算法刷题#This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are st...
#计算机科学#JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
A PyTorch library for building deep reinforcement learning agents.
翻译 - 一个PyTorch库,用于构建深度强化学习代理。
#计算机科学#🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
#计算机科学#CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
#计算机科学#PyTorch implementation of Soft Actor-Critic (SAC)
PyTorch implementation of deep reinforcement learning algorithms
Reinforcement Learning Algorithms Based on PyTorch
#计算机科学#DrQ: Data regularized Q
翻译 - DrQ:数据正则化Q
#计算机科学#Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
#计算机科学#RAD: Reinforcement Learning with Augmented Data
#计算机科学#Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...