PyroTrack: Belief-Based Deep Reinforcement Learning Path Planning for Aerial Wildfire Monitoring in Partially Observable Environments.
Sahand KhoshdelQi LuoFatemeh AfghahPublished in: CoRR (2024)
Keyphrases
- path planning
- partially observable environments
- reinforcement learning
- reinforcement learning algorithms
- partially observable
- mobile robot
- inverse reinforcement learning
- path planning algorithm
- dynamic environments
- collision avoidance
- belief state
- multi robot
- state space
- belief space
- motion planning
- cooperative games
- path finding
- optimal path
- multiple robots
- dynamic and uncertain environments
- partially observable markov decision processes
- markov decision processes
- temporal difference
- model free
- belief revision
- decision problems
- reward function
- optimal policy
- function approximation
- aerial vehicles
- learning algorithm