Realistic optimal policies for energy-efficient train driving.
Josif GrabockaAlexandros DalkalitsisAthanasios LoisEvangelos KatsarosLars Schmidt-ThiemePublished in: ITSC (2014)
Keyphrases
- energy efficient
- optimal policy
- wireless sensor networks
- markov decision processes
- decision problems
- energy consumption
- sensor networks
- finite horizon
- state space
- dynamic programming
- finite state
- multistage
- reinforcement learning
- long run
- average reward reinforcement learning
- data dissemination
- energy efficiency
- infinite horizon
- sufficient conditions
- average reward
- serial inventory systems
- base station
- dynamic programming algorithms
- multi core architecture
- routing protocol
- markov decision process
- data transmission
- data collection
- partially observable markov decision processes
- average cost
- real time
- policy iteration
- semi markov decision processes
- sensor nodes
- routing algorithm