Logistic $Q$-Learning.
Joan Bas-SerranoSebastian CuriAndreas KrauseGergely NeuPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- function approximation
- cooperative
- multi agent
- state space
- logistic regression
- learning algorithm
- stochastic approximation
- action selection
- optimal policy
- reinforcement learning algorithms
- learning rate
- temporal difference learning
- credit assignment
- relational reinforcement learning
- data sets
- model free
- potential field
- logistic model
- hierarchical reinforcement learning
- neural network
- monte carlo
- case study
- multiagent learning
- state action
- multi agent reinforcement learning
- learning agent
- data mining
- continuous state and action spaces