A SAC-Based Deep Reinforcement Learning Approach for Autonomous Underwater Vehicle Combat.
Kai ZhangYang XuJunjie ZhuPublished in: RICAI (2023)
Keyphrases
- autonomous underwater vehicle
- reinforcement learning
- function approximation
- global optimization
- state space
- markov decision processes
- model free
- transfer learning
- multi agent
- temporal difference learning
- partially observable
- temporal difference
- optimal control
- machine learning
- optimal policy
- learning algorithm
- dynamic programming
- real time
- learning problems
- action selection
- control problems
- deep learning
- reinforcement learning methods
- policy search
- relational reinforcement learning
- data mining