Submodular Reinforcement Learning.
Manish PrajapatMojmír MutnýMelanie N. ZeilingerAndreas KrausePublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- greedy algorithm
- function approximation
- objective function
- state space
- markov decision processes
- reinforcement learning algorithms
- control problems
- multi agent
- temporal difference
- high order
- robotic control
- multi agent reinforcement learning
- markov decision process
- model free
- optimal policy
- learning algorithm
- machine learning
- optimal control
- data sets
- learning process
- website
- information systems
- reinforcement learning methods