Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning.
Chao ChenYuanzhao ZhaiZijian GaoKele XuSen YangYiying LiBo DingDawei FengHuaimin WangPublished in: IEEE Trans. Artif. Intell. (2024)
Keyphrases
- reinforcement learning
- low rank
- nuclear norm
- low rank matrix
- function approximation
- markov decision processes
- low rank matrices
- singular values
- matrix completion
- state space
- model free
- reinforcement learning algorithms
- norm minimization
- optimal policy
- active learning
- minimization problems
- signal processing
- singular value decomposition
- objective function
- learning algorithm
- machine learning
- data sets