There are 25 repositories under q-learning topic.
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
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)
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
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
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
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.
Reinforcement Learning for Portfolio Management
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind
The official code repository supporting the book, Grokking Artificial Intelligence Algorithms
playing idealized trading games with deep reinforcement learning
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
A deep reinforcement learning bot that plays tetris
Free Resources For Data Science created by Shubham Kumar
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
A deep learning library to provide algs in pure Numpy or Tensorflow.
An environment to high-frequency trading agents under reinforcement learning
Using tabular and deep reinforcement learning methods to infer optimal market making strategies
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning
Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"
Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress
R.L. methods and techniques.