A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation.
Steffen GraclaCarsten BockelmannArmin DekorsyPublished in: CoRR (2023)
Keyphrases
- resource allocation
- multi task
- reinforcement learning
- multi task learning
- learning tasks
- learning problems
- transfer learning
- resource allocation problems
- multitask learning
- optimal resource allocation
- multiple tasks
- allocation problems
- gaussian processes
- sparse learning
- feature selection
- scarce resources
- learning algorithm
- combinatorial auctions
- state space
- resource allocation decisions
- resource allocation and scheduling
- multi class
- machine learning
- reinforcement learning algorithms
- supervised learning
- distributed resource allocation
- data sets