Train Deep Reinforcement Learning Agent to Play a Variation of Pong® This example demonstrates a reinforcement learning agent playing a variation of the game of Pong® using Reinforcement Learning ...

The Deep Learning Toolbox, part of MathWorks’ MATLAB 2018b release, targets the creation of machine-learning applications.

Deep Q-Learning on CartPole using MATLAB This project demonstrates a Deep Q-Network (DQN) agent trained to solve the classic CartPole balancing task using MATLAB's Reinforcement Learning Toolbox.

AI R2019a introduces Reinforcement Learning Toolbox, further enhancing the MATLAB workflow for AI.

R2019a introduces Reinforcement Learning Toolbox, further enhancing the MATLAB workflow for AI. The new toolbox facilitates a type of machine learning that trains an “agent” through repeated ...

Synthetic environments with obstacles are created using the MATLAB® Reinforcement Learning toolbox for realistic simulations. The system employs an actor-critic neural network that processes occupancy ...

Today MathWorks introduced Release 2019a of MATLAB and Simulink. The release contains new products and important enhancements for artificial intelligence (AI), signal processing, and static analysis, ...

MathWorks has introduced Release 2019a of MATLAB and Simulink which contains new products and important enhancements for artificial intelligence (AI), signal processing, and static analysis, along ...