Deep recurrent Q-learning for energy-constrained coverage with a mobile robot.
Aaron ZellnerAyan DuttaIliya KulbakaGokarna SharmaPublished in: Neural Comput. Appl. (2023)
Keyphrases
- mobile robot
- potential field
- real robot
- energy consumption
- reinforcement learning
- multi agent
- mobile robot navigation
- obstacle avoidance
- energy minimization
- state space
- path planning
- low energy
- function approximation
- dynamic environments
- multi robot
- autonomous robots
- learning algorithm
- indoor environments
- unknown environments
- robotic systems
- motion planning
- mobile robotics
- autonomous navigation
- cooperative
- feed forward
- minimum energy
- stochastic approximation
- multi unit combinatorial auctions
- office environment
- dynamic programming
- sensor networks
- optimal policy
- motion control
- temporal difference learning
- state action
- topological map