Deep Recurrent Q-learning for Energy-constrained Coverage with a Mobile Robot.
Aaron ZellnerAyan DuttaIliya KulbakaGokarna SharmaPublished in: CoRR (2022)
Keyphrases
- mobile robot
- potential field
- path planning
- reinforcement learning
- obstacle avoidance
- cooperative
- dynamic environments
- real robot
- function approximation
- indoor environments
- energy consumption
- unknown environments
- mobile robot navigation
- feed forward
- autonomous robots
- motion planning
- multi agent
- office environment
- low energy
- minimum energy
- energy minimization
- multi robot
- multi agent reinforcement learning
- mobile robotics
- autonomous navigation
- state space
- stochastic approximation
- multi unit combinatorial auctions
- reinforcement learning algorithms
- energy saving
- temporal difference learning
- topological map
- learning rate
- robotic systems
- learning algorithm
- machine learning