Decentralized and Partially Decentralized Reinforcement Learning for Distributed Combinatorial Optimization Problems.
Omkar J. TilakSnehasis MukhopadhyayPublished in: ICMLA (2010)
Keyphrases
- combinatorial optimization problems
- multi agent
- distributed systems
- reinforcement learning
- peer to peer
- cooperative
- combinatorial optimization
- distributed agents
- knapsack problem
- optimization problems
- ant colony optimization
- discrete optimization
- decentralized control
- metaheuristic
- traveling salesman problem
- structured peer to peer
- job shop scheduling
- distributed constraint optimization
- peer to peer systems
- fully distributed
- distributed environment
- cooperative multi agent systems
- dynamic programming
- networked environment
- continuous optimization problems
- multi agent systems
- learning algorithm
- machine learning
- multiagent reinforcement learning
- evolutionary algorithm
- shortest path problem
- reinforcement learning algorithms
- optimal policy
- multiagent systems