Robotic Weight-based Object Relocation in Clutter via Tree-based Q-learning Approach using Breadth and Depth Search Techniques.
Giacomo GolluccioDaniele Di VitoAlessandro MarinoGianluca AntonelliPublished in: ICAR (2021)
Keyphrases
- object manipulation
- search algorithm
- background clutter
- multi agent
- cooperative
- real time
- search efficiency
- learning algorithm
- function approximation
- search space
- state space
- search strategy
- complex objects
- mobile robot
- action selection
- search queries
- search methods
- d objects
- moving objects
- multi agent systems
- reinforcement learning
- search engine
- information retrieval
- neural network