Multi-Objective Deep Q-Learning with Subsumption Architecture.
Tomasz TajmajerPublished in: CoRR (2017)
Keyphrases
- multi objective
- subsumption architecture
- robot control
- evolutionary algorithm
- reinforcement learning
- multi objective optimization
- optimization algorithm
- function approximation
- cooperative
- state space
- multi agent
- particle swarm optimization
- learning algorithm
- objective function
- stochastic approximation
- multiple objectives
- nsga ii
- pareto optimal
- genetic algorithm
- learning rate
- optimal policy
- action selection
- conflicting objectives
- optimum design
- model free
- multi objective optimization problems
- autonomous robots
- neural network
- learning agent
- optimization problems
- traffic signal