q-learning topic

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.

AndreaVidali

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

sichkar-valentyn

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

sudharsan13296

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

harveybc

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

cyoon1729

The official code repository supporting the book, Grokking Artificial Intelligence Algorithms

rishal-hurbans

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

AgentMaker

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

navuboy

Demo project using tabular Q-learning algorithm

Unity-Technologies

Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic

chen0040