Push Recovery Strategies through Deep Reinforcement Learning.
Dicksiano Carvalho MeloMarcos Ricardo Omena Albuquerque MáximoAdilson Marques da CunhaPublished in: LARS/SBR/WRE (2020)
Keyphrases
- reinforcement learning
- function approximation
- learning algorithm
- learning agents
- multi agent reinforcement learning
- multi agent
- dynamic programming
- control strategies
- optimal policy
- reinforcement learning algorithms
- temporal difference
- action selection
- model free
- data sets
- artificial intelligence
- recovery algorithm
- online auctions
- image recovery
- deep learning
- search space
- website
- data mining