There was an error while loading. Please reload this page. SARSA Reinforcement Learning in a Grid World This project implements the State-Action-Reward-State-Action ...

This report delves into the comparative analysis of Q-learning and SARSA algorithms within a deterministic grid world environment. The adjustments made to both implementations were motivated by a ...

Abstract: When the traditional Sarsa(λ) algorithm is applied to the path planning, there are some problems such as slow learning of environmental knowledge and neglecting a lot of useful information.

Abstract: As unmanned aerial vehicles (UA V) are widely used in unknown and complex environments, their path planning capabilities face higher requirements. In many cases, UA V cannot obtain the ...