Cooperative Perception with Deep Reinforcement Learning for Connected Vehicles.
Shunsuke AokiTakamasa HiguchiOnur AltintasPublished in: IV (2020)
Keyphrases
- cooperative
- reinforcement learning
- multi agent
- active exploration
- function approximation
- multiagent reinforcement learning
- multi agent reinforcement learning
- state space
- selective perception
- optimal policy
- model free
- autonomous underwater vehicles
- reinforcement learning algorithms
- real time
- machine learning
- vehicle detection
- markov decision processes
- policy search
- visual perception
- vehicle tracking
- distributed problem solving
- deep learning
- machine intelligence
- dynamic programming
- learning algorithm
- temporal difference learning
- evaluation function
- cooperating agents
- connected components
- transfer learning
- robotic control
- solve complex tasks