Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning.
Mohamed K. Abdel-AzizCristina PerfectoSumudu SamarakoonMehdi BennisWalid SaadPublished in: CoRR (2020)
Keyphrases
- cooperative
- reinforcement learning
- action selection
- partially observable domains
- joint action
- sensory inputs
- multi agent
- action space
- multi agent reinforcement learning
- function approximation
- reward shaping
- active exploration
- state action
- multiagent reinforcement learning
- learning algorithm
- visual perception
- machine learning
- transfer learning
- partially observable
- digital libraries
- multi agent systems
- fitted q iteration
- reinforcement learning algorithms
- human perception
- action models
- branch and bound
- transition model
- markov decision processes
- state space
- data sources
- model free
- urban areas
- search tree
- agent learns
- dynamic programming
- learning process
- search algorithm