An elegant PyTorch deep reinforcement learning library.
#算法刷题#PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Massively Parallel Deep Reinforcement Learning. 🔥
#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.
#计算机科学#JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
#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.
#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#Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
#计算机科学#DrQ: Data regularized 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