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 ...

Building RL Algorithms from Scratch in Matlab Scripts and functions written by Hunter Whaples in collaboration with Prof. R. Wang at Harvey Mudd College. The goal of these programs is to demonstrate ...

Reinforcement learning is a body of theory and techniques for optimal sequential decision making developed in the last thirty years primarily within the machine learning and operations research ...

This paper presents a deep reinforcement learning (RL) approach for training mobile robots to navigate complex environments using the Twin Delayed Deep Deterministic Policy Gradient (TD3) method, ...