Decentralized Planning of Platoons in Road Transport using Reinforcement Learning.
Irene de ZarzàJoachim de CurtòCarlos T. CalafatePublished in: ICDCS Workshops (2023)
Keyphrases
- reinforcement learning
- multi agent
- transport network
- action selection
- planning problems
- function approximation
- cooperative
- state space
- decentralized decision making
- machine learning
- partially observable
- learning algorithm
- deterministic domains
- partially observable markov decision processes
- heuristic search
- motion planning
- reinforcement learning algorithms
- optimal policy
- multi agent reinforcement learning
- peer to peer
- decision theoretic
- stochastic domains
- reinforcement learning problems
- partially observable markov decision process
- continuous state
- blocks world
- traffic accidents
- function approximators
- autonomous vehicles
- markov decision processes
- robot control
- single agent
- aerial images
- goal oriented
- ai planning