Exploring the Use of Deep Reinforcement Learning Algorithms for Wound-Approaching Trajectories in Robot-Assisted Minimally Invasive Surgery.
Marco CaianielloCristina IaconoAntonella ImperatoFanny FicucielloPublished in: ICAR (2023)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- markov decision processes
- mobile robot
- state space
- model free
- reinforcement learning problems
- eligibility traces
- collision free
- configuration space
- reinforcement learning methods
- temporal difference
- learning algorithm
- multi robot
- path planning
- function approximation
- dynamic environments
- reward function
- learning agent
- robot navigation
- policy search
- machine learning
- tabula rasa
- step size
- evaluation function
- monte carlo
- dynamic programming
- partially observable environments