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
Nov 8, 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/
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Stock Trading Bot using Deep Q-Learning
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
A curated list of Monte Carlo tree search papers with implementations.
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Arnold - DOOM Agent
DEEp Reinforcement learning framework
Reinforcement Learning for Portfolio Management
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
playing idealized trading games with deep reinforcement learning
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind
Play Google Chrome's T-rex game with TensorFlow
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