Deep Recurrent Reinforcement Learning for Intercept Guidance Law under Partial Observability.
Xu WangYifan DengYuanli CaiHaonan JiangPublished in: Appl. Artif. Intell. (2024)
Keyphrases
- partial observability
- reinforcement learning
- partially observable
- symbolic model checking
- fully observable
- belief state
- markov decision process
- planning problems
- function approximation
- state space
- belief space
- markov decision processes
- reinforcement learning algorithms
- multi agent
- learning process
- neural network
- partially observable markov decision processes
- dynamic programming
- markov decision problems
- machine learning