A toolkit for developing and comparing reinforcement learning algorithms.
PyTorch implementations of deep reinforcement learning algorithms and environments
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Collection of reinforcement learning algorithms
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#PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
#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...
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
#计算机科学#Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Implementations of selected inverse reinforcement learning algorithms.
Deep Reinforcement Learning Framework + Algorithms
Reinforcement learning algorithms for MuJoCo tasks
Collection of Deep Reinforcement Learning algorithms
📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
Implementations of Reinforcement Learning and Planning algorithms
Multi-Objective Reinforcement Learning algorithms implementations.
PyTorch implementation of deep reinforcement learning algorithms
A collection of offline reinforcement learning algorithms.
Implementing reinforcement-learning algorithms for pysc2 -environment
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
A collection of reinforcement learning algorithms.