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
Jun 2, 2024 - 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/
A Torch Based RL Framework for Rapid Prototyping of Research Papers
Interactive Learning [ECE 641] - Fall 2023 - University of Tehran - Prof. Nili
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Build and test DRL algorithms in different environments
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Basic code for reinforcement learning and small programs.
🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄
Optimizing Value-Based Reinforcement Learning Using DQN.
A collection of RL algorithms written in PyTorch
Deep Reinforcement Learning with Custom Environment
Reinforcement Learning on ViZDoom Enviroment using Advantage Actor Critic and Dueling Deep Q Networks.
Minimum viable reinforcement learning algorithms for your educational convenience.
A clean framework and implementations for reinforcement learning algorithms.
An epsilon-greedy Dueling Deep Q-Network Based on Prioritised Experience Replay to compute the minimal time path for traversing a maze.
Signal novelty detection as an intrinsic reward for robotics
Reinforcement learning tutorials
Apply Double Dueling DQN
Apply Dueling DQN
Implementation of two Deep Reinforcement Learning agents for solving the lunar-lander environment.
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