Teaching on a Budget in Multi-Agent Deep Reinforcement Learning.
Ercüment IlhanJeremy GowDiego Pérez-LiébanaPublished in: CoG (2019)
Keyphrases
- reinforcement learning
- multi agent
- learning process
- higher education
- function approximation
- web based learning
- cooperative
- multi agent systems
- state space
- reinforcement learning agents
- cooperative learning
- single agent
- distance learning
- multiagent systems
- intelligent agents
- multi agent environments
- model free
- multi agent reinforcement learning
- learning environment
- online learning
- action selection
- problem based learning
- reinforcement learning algorithms
- function approximators
- high school
- markov decision processes
- learning systems
- computer programming
- learning agents
- multiagent reinforcement learning
- learning algorithm
- temporal difference
- heterogeneous agents
- hong kong
- optimal control
- learning analytics
- optimal policy
- e learning
- teaching materials
- multiple agents
- educational technology
- teacher education
- intelligent tutoring systems
- reinforcement learning methods
- university level
- autonomous agents
- dynamic environments
- machine learning
- thinking skills