#计算机科学#Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
PyTorch implementation of soft actor critic
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。
Reinforcement Learning for real-time applications - host of the TrackMania Roborace League
#计算机科学#PyTorch implementation of Soft Actor-Critic (SAC)
#计算机科学#RAD: Reinforcement Learning with Augmented Data
#计算机科学#lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch,激光雷达Lidar避障,激光雷达仿真模拟,Adaptive-SAC
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
#计算机科学#PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
#计算机科学#Deep Reinforcement Learning in C#
A pytorch tutorial for DRL(Deep Reinforcement Learning)
#计算机科学#SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
#计算机科学#JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC