RL-DOVS: Reinforcement Learning for Autonomous Robot Navigation in Dynamic Environments.
Andrew K. MackayLuis RiazueloLuis MontanoPublished in: Sensors (2022)
Keyphrases
- dynamic environments
- reinforcement learning
- autonomous robot navigation
- reinforcement learning algorithms
- model free
- rl algorithms
- reinforcement learning agents
- autonomous agents
- mobile robot
- function approximation
- state space
- learning algorithm
- adaptive control
- optimal policy
- markov decision processes
- temporal difference
- transfer learning
- collision avoidance
- single agent
- autonomous systems
- learning problems
- learning agents
- temporal difference learning
- path planning
- machine learning
- changing environment
- belief space
- multi agent
- real environment
- action space
- reinforcement learning methods
- partially observable domains
- state and action spaces
- learning agent
- agent systems
- partially observable
- action selection
- markov decision process
- potential field
- direct policy search
- biologically inspired