soft-actor-critic

#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..

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.

PyTorch implementation of soft actor critic

#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.

Reinforcement Learning for real-time applications - host of the TrackMania Roborace League

#计算机科学#PyTorch implementation of Soft Actor-Critic (SAC)

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

#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.

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#Deep Reinforcement Learning in C#

#计算机科学#PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

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