A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving.
Mayank K. PalRupali BhatiAnil SharmaSanjit K. KaulSaket AnandP. B. SujitPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- macro actions
- action selection
- communication systems
- heuristic search
- reinforcement learning algorithms
- markov decision processes
- decision support
- complex domains
- domain independent
- adaptation process
- deterministic domains
- partially observable
- machine learning
- blocks world
- temporal difference
- model free
- traffic flow
- planning problems
- neural network
- state space
- classical planning
- partially observable domains
- reward shaping
- learning algorithm
- stochastic domains
- propagation model
- multi agent
- partial observability
- search algorithm
- data dissemination
- optimal control
- partially observable markov decision processes
- learning process
- cellular automata
- heterogeneous networks
- ai planning
- communication networks
- function approximation
- changing environment