Regular Reinforcement Learning.
Taylor DohmenMateo PerezFabio SomenziAshutosh TrivediPublished in: CAV (3) (2024)
Keyphrases
- reinforcement learning
- function approximation
- state space
- temporal difference
- optimal policy
- markov decision processes
- learning process
- optimal control
- markov decision process
- learning algorithm
- model free
- learning problems
- direct policy search
- multi agent reinforcement learning
- temporal difference learning
- reinforcement learning algorithms
- support vector
- data mining
- databases
- database
- control system
- reward function
- genetic algorithm
- learning capabilities
- partially observable
- control problems
- machine learning
- continuous state
- real time