Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning.
Conor F. HayesMathieu ReymondDiederik M. RoijersEnda HowleyPatrick MannionPublished in: Auton. Agents Multi Agent Syst. (2023)
Keyphrases
- monte carlo
- multi objective
- game tree
- reinforcement learning
- search algorithm
- tree search
- temporal difference
- stochastic approximation
- evolutionary algorithm
- policy evaluation
- importance sampling
- monte carlo simulation
- monte carlo tree search
- temporal difference learning
- multi objective optimization
- markov chain
- game tree search
- monte carlo methods
- genetic algorithm
- markovian decision
- adaptive sampling
- particle filter
- optimal strategy
- simulation study
- machine learning
- objective function
- search tree
- branch and bound
- markov decision processes
- state space
- function approximation
- model free
- monte carlo method
- control problems
- dynamic programming
- mathematical programming
- decision making
- point processes