Checklist
–Neural Information Processing Systems
For all authors... (a) Do the main claims made in the abstract and introduction accurately reflect the paper's contributions and scope? We discussed privacy as a future step in Section 6. If you ran experiments... (a) Did you include the code, data, and instructions needed to reproduce the main experimental results (either in the supplemental material or as a URL)? [Yes] (b) Did you specify all the training details (e.g., data splits, hyperparameters, how they were chosen)? If you used crowdsourcing or conducted research with human subjects... (a) Did you include the full text of instructions given to participants and screenshots, if applicable? [N/A] (b) Did you describe any potential participant risks, with links to Institutional Review Board (IRB) approvals, if applicable? [N/A] (c) Did you include the estimated hourly wage paid to participants and the total amount spent on participant compensation? Figure 1 illustrates the time horizon of the problem we consider in Sec. 2. A.2 Input-driven LQR with Transition Noise Suppose at each time interval t, we add a noise vector w Notice that w only affects the constant term, which is independent of u.
Neural Information Processing Systems
Mar-18-2025, 17:45:30 GMT