Reinforcement learning with utility-aware agents for market-based resource allocation.
Eduardo Rodrigues GomesRyszard KowalczykPublished in: AAMAS (2007)
Keyphrases
- resource allocation
- distributed resource allocation
- reinforcement learning
- trading agents
- learning agents
- social welfare
- multiagent learning
- market equilibrium
- resource allocation and scheduling
- bidding strategies
- resource allocation problems
- resource management
- optimal resource allocation
- allocation problems
- allocate resources
- resource allocation decisions
- multi agent
- reinforcement learning algorithms
- game theory
- combinatorial auctions
- action selection
- dynamic resource allocation
- negotiation mechanism
- resource availability
- markov decision processes
- optimal policy
- state space
- multi agent systems
- decision theoretic
- market conditions
- allocation strategies
- expected utility
- learning agent
- scarce resources
- autonomous agents