UAV Control Optimization via Decentralized Markov Decision Processes.
Md. Ali AzamPublished in: CoRR (2021)
Keyphrases
- markov decision processes
- decentralized control
- finite state
- state space
- reinforcement learning
- transition matrices
- optimal policy
- decision theoretic planning
- dynamic programming
- policy iteration
- factored mdps
- risk sensitive
- finite horizon
- reachability analysis
- planning under uncertainty
- average reward
- decision processes
- control system
- infinite horizon
- multi agent
- average cost
- unmanned aerial vehicles
- model based reinforcement learning
- reinforcement learning algorithms
- action space
- markov decision process
- control problems
- partially observable
- state and action spaces
- stationary policies
- optimal control
- action sets
- dynamic environments
- data mining
- semi markov decision processes
- probabilistic planning
- control policies
- path planning