Planning Large-scale Object Rearrangement Using Deep Reinforcement Learning.
Sourav GhoshDipanjan DasAbhishek ChakrabortyMarichi AgarwalBrojeshwar BhowmickPublished in: IJCNN (2022)
Keyphrases
- reinforcement learning
- action selection
- d objects
- complex objects
- moving objects
- small scale
- model free
- macro actions
- state space
- motion planning
- markov decision processes
- multiple objects
- partially observable
- temporal difference
- object model
- complex domains
- optimal control
- blocks world
- symbolic model checking
- deterministic domains
- target object
- real world
- planning problems
- data objects
- object tracking
- search space
- search algorithm
- machine learning