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".
#计算机科学#Python library for 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.
#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#Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
#计算机科学#RAD: Reinforcement Learning with Augmented Data
#计算机科学#Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math