An Auction-based Coordination Strategy for Task-Constrained Multi-Agent Stochastic Planning with Submodular Rewards.
Ruifan LiuHyo-Sang ShinBonbon YanAntonios TsourdosPublished in: CoRR (2022)
Keyphrases
- multi agent
- multi agent planning
- reinforcement learning
- negotiation mechanism
- multi agent systems
- multiagent systems
- cooperative
- single agent
- multiple agents
- heterogeneous agents
- multi agent coordination
- stochastic domains
- mechanism design
- assembly systems
- greedy algorithm
- heuristic search
- planning problems
- agent communication
- autonomous agents
- action selection
- electronic commerce
- intelligent agents
- fully observable
- multi agent reinforcement learning
- leader follower
- monte carlo
- markov decision processes
- partially observable markov decision processes
- negotiation protocol
- agent behavior
- bidding strategies
- bandit problems
- software agents
- optimal strategy