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9. Notes

14. Contents

16. Properties of Sub-Add Move Graphs

17. Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation

18. A nondestructive Bell-state measurement on two distant atomic qubits

19. Position: Benchmarking is Limited in Reinforcement Learning Research

20. ICU-Sepsis: A Benchmark MDP Built from Real Medical Data

21. Fusion of deterministically generated photonic graph states

23. From Past to Future: Rethinking Eligibility Traces

25. Behavior Alignment via Reward Function Optimization

26. Learning Fair Representations with High-Confidence Guarantees

30. Non-polaritonic effects in cavity-modified photochemistry

31. Coagent Networks: Generalized and Scaled

34. Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data

35. Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments

36. Optimization using Parallel Gradient Evaluations on Multiple Parameters

37. Off-Policy Evaluation for Action-Dependent Non-Stationary Environments

38. Low Variance Off-policy Evaluation with State-based Importance Sampling

39. Molecular Strong Coupling and Cavity Finesse

40. Enforcing Delayed-Impact Fairness Guarantees

42. Exploring Therapeutic Potential of Indian Ayurvedic Plants for Parkinson’s Disease Treatment

43. Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL

44. Efficient generation of entangled multi-photon graph states from a single atom

46. Edge-Compatible Reinforcement Learning for Recommendations

47. SOPE: Spectrum of Off-Policy Estimators

48. Dedicated anticoagulation management protocols in fragility femoral fracture care – a source of significant variance and limited effectiveness in improving time to surgery: The hip and femoral fracture anticoagulation surgical timing evaluation (HASTE) study

49. All-optical control of phase singularities using strong light-matter coupling

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