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。
#计算机科学#High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
#计算机科学#Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
#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#Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
#计算机科学#PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) ...
Modularized Implementation of Deep RL Algorithms in PyTorch
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
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.
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
#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...
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
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)