强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/
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Updated
Mar 23, 2023 - Jupyter Notebook
强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Modularized Implementation of Deep RL Algorithms in PyTorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Cloud-native 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.
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Machine Readable Zone generator and checker for official travel documents sizes 1, 2, 3, MRVA and MRVB (Passports, Visas, national id cards and other travel documents)
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
Autonomous UAV Navigation without Collision using Visual Information in Airsim
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Accelerating Quadratic Optimization with Reinforcement Learning
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