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#

q-learning

Here are 1,486 public repositories matching this topic...

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)

  • UpdatedJun 11, 2025
  • Python

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

  • UpdatedMar 14, 2024
  • Python

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

  • UpdatedJul 14, 2023
  • Jupyter Notebook

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..

  • UpdatedJan 22, 2019
  • Jupyter Notebook
awesome-monte-carlo-tree-search-papers

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

  • UpdatedApr 25, 2022
  • Python

DEEp Reinforcement learning framework

  • UpdatedJun 25, 2025
  • Python

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.

  • UpdatedDec 2, 2025
  • Python

Reinforcement Learning for Portfolio Management

  • UpdatedJun 26, 2018
  • Jupyter Notebook

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

  • UpdatedApr 1, 2021
  • Jupyter Notebook

Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind

  • UpdatedJun 20, 2025
  • Python

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