Policies Generalization in Reinforcement Learning using Galois Partitions Lattices.
Marc RicordeauMichel LiquierePublished in: CLA (2007)
Keyphrases
- reinforcement learning
- optimal policy
- policy search
- markov decision process
- control policies
- reward function
- markov decision processes
- control policy
- galois lattices
- state space
- machine learning
- markov decision problems
- formal concepts
- formal concept analysis
- function approximation
- reinforcement learning agents
- concept lattice
- hierarchical reinforcement learning
- reinforcement learning algorithms
- transition model
- macro actions
- fitted q iteration
- multi agent
- decision problems
- partially observable markov decision processes
- multiagent reinforcement learning
- clustering algorithm
- approximate policy iteration
- optimal control
- decentralized control
- model free
- long run
- finite state
- revenue management
- continuous state
- supervised learning
- total reward
- robotic control
- action selection
- temporal difference
- policy gradient methods
- reinforcement learning methods