Automatic Parameter Optimization Using Genetic Algorithm in Deep Reinforcement Learning for Robotic Manipulation Tasks.
Adarsh SehgalNicholas WardHung M. LaSushil J. LouisPublished in: CoRR (2022)
Keyphrases
- parameter optimization
- manipulation tasks
- genetic algorithm
- reinforcement learning
- real robot
- genetic algorithm ga
- object manipulation
- robot navigation
- robotic systems
- motion planning
- differential evolution
- fitness function
- human robot interaction
- robotic arm
- state space
- parameter settings
- artificial neural networks
- humanoid robot
- support vector machine
- robot control
- parameter estimation
- simulated annealing
- end effector
- pid controller
- human activities
- multi objective
- service robots
- learning algorithm
- neural network
- multi robot
- degrees of freedom
- fuzzy logic