A Theoretical Analysis
–Neural Information Processing Systems
In this section, we provide detailed theoretical analysis and proofs in linear MDPs [23]. A.1 LSVI Solution In linear MDPs, we assume that the transition dynamics and reward function take the form of P Theorem (Theorem 1 restate) . In experiments, we do not use explicit constraints (e.g., Spectral regularization) for the upper bound Corollary (Corollary 1 restate) . I given in Corollary 1. To conclude, we obtain from Eq. (22) that |T V First, we give the following lemma.
Neural Information Processing Systems
Aug-22-2025, 01:03:20 GMT
- Genre:
- Research Report > New Finding (0.46)
- Industry:
- Government (0.47)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning (1.00)
- Robots (0.67)
- Information Technology > Artificial Intelligence