Cooperative Perception with Deep Reinforcement Learning for Connected Vehicles.
Shunsuke AokiTakamasa HiguchiOnur AltintasPublished in: CoRR (2020)
Keyphrases
- cooperative
- reinforcement learning
- multi agent
- multi agent reinforcement learning
- function approximation
- active exploration
- state space
- learning algorithm
- visual perception
- real time
- reinforcement learning algorithms
- temporal difference learning
- selective perception
- connected components
- game theory
- vehicle detection
- distributed problem solving
- road traffic
- multiagent reinforcement learning
- temporal difference
- multi agent systems
- learning process
- optimal policy
- markov decision processes
- cooperating agents
- sensory inputs
- moving vehicles
- human perception
- robotic control
- deep learning
- traffic flow
- autonomous underwater vehicles
- cooperative learning
- dangerous situations
- supervised learning
- solve complex tasks
- optimal control
- urban traffic
- vehicle tracking
- model free
- weather conditions
- traffic accidents
- autonomous vehicles
- travel time
- machine intelligence