Using Behavioural Programming with Solver, Context, and Deep Reinforcement Learning for Playing a Simplified RoboCup-Type Game

We describe four scenario-based implementations of controllers for a player in a simplified RoboCup-type game. All four implementations are based on the behavioural programming (BP) approach. We first describe a simple controller for the player using the state-of-the-art BPjs tool and then show how...

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Veröffentlicht in:	2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) S. 243 - 251
Hauptverfasser:	Elyasaf, Achiya, Sadon, Aviran, Weiss, Gera, Yaacov, Tom
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2019
Schlagworte:	Behavioral Programming BPjs Context modeling Context Oriented Modelling Couplings Deep reinforcement learning DRL Games Intelligent agents Manuals Model driven engineering Programming Robots Training
Online-Zugang:	Volltext
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