Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement Learning.
Conor F. HayesMathieu ReymondDiederik M. RoijersEnda HowleyPatrick MannionPublished in: AAMAS (2021)
Keyphrases
- monte carlo tree search
- multi objective
- reinforcement learning
- temporal difference
- reinforcement learning methods
- bayesian reinforcement learning
- monte carlo
- temporal difference learning
- tree search algorithm
- evolutionary algorithm
- evaluation function
- reinforcement learning algorithms
- function approximation
- genetic algorithm
- model free
- state space
- objective function
- optimal policy
- action selection
- control problems
- learning algorithm
- monte carlo search
- fixed point
- markov decision processes
- particle swarm optimization
- machine learning
- optimal control
- markov chain
- linear programming