Using deep reinforcement learning to promote sustainable human behaviour on a common pool resource problem.
Raphael KosterMiruna PîslarAndrea TacchettiJan BalaguerLeqi LiuRomuald ElieOliver P. HauserKarl TuylsMatt M. BotvinickChristopher SummerfieldPublished in: CoRR (2024)
Keyphrases
- human behaviour
- reinforcement learning
- cognitive processes
- spoken dialogue systems
- human activities
- multi agent
- cognitive architecture
- state space
- multi sensor
- markov decision processes
- temporal context
- optimal policy
- dynamic programming
- machine learning
- artificial intelligence
- activity recognition
- real valued
- human motion
- human computer interaction
- spatio temporal
- decision making