9 citations · 9 across the 5 of their papers we have counts for
7 papers
Policy Gradient for Continuous-Time Robust Markov Decision Processes
Tanya Veeravalli, David M. Bossens, Atsushi Nitanda
The framework of robust Markov decision processes (RMDPs) allows the design of reinforcement learning agents that satisfy performance guarantees under worst-case transition dynamic…
Slowly Annealed Langevin Dynamics: Theory and Applications to Training-Free Guided Generation
Atsushi Nitanda, Dake Bu, Yueming Lyu +1
We study Slowly Annealed Langevin Dynamics (SALD), a sampler for tracking a path of moving target distributions and approximating the terminal target through time slowdown. We esta…
Nonlinear controllability and function representation by neural stochastic differential equations
Tanya Veeravalli, Maxim Raginsky
There has been a great deal of recent interest in learning and approximation of functions that can be expressed as expectations of a given nonlinearity with respect to its random i…
The Twelvefold Way of Non-Sequential Lossless Compression
Taha Ameen ur Rahman, Alton S. Barbehenn, Xinan Chen +27
Many information sources are not just sequences of distinguishable symbols but rather have invariances governed by alternative counting paradigms such as permutations, combinations…
Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure
Ioannis C. Konstantakopoulos, Hari Prasanna Das, Andrew R. Barkan +6
In this paper, we propose a gamification approach as a novel framework for smart building infrastructure with the goal of motivating human occupants to reconsider personal energy u…
Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso
Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala +3
A generalized gamification framework is introduced as a form of smart infrastructure with potential to improve sustainability and energy efficiency by leveraging humans-in-the-loop…