17 citations · 73 across the 15 of their papers we have counts for
16 papers
Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion Models
Min Cheng, Fatemeh Doudi, Dileep Kalathil +2
Reinforcement learning (RL) algorithms have been used recently to align diffusion models with downstream objectives such as aesthetic quality and text-image consistency by fine-tun…
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
Tao Liu, Ruida Zhou, Dileep Kalathil +2
We address the issue of safety in reinforcement learning. We pose the problem in an episodic framework of a constrained Markov decision process. Existing results have shown that it…
UNBLOCK: Low Complexity Transient Blockage Recovery for Mobile mm-Wave Devices
Santosh Ganji, Tzu-Hsiang Lin, Francisco A. Espinal +1
Directional radio beams are used in the mm-Wave band to combat the high path loss. The mm-Wave band also suffers from high penetration losses from drywall, wood, glass, concrete, e…
Incentive Compatibility in Stochastic Dynamic Systems
Ke Ma, P. R. Kumar
While the classic Vickrey-Clarke-Groves mechanism ensures incentive compatibility for a static one-shot game, it does not appear to be feasible to construct a dominant truth-tellin…
Towards Provably Safe Mixed Transportation Systems with Human-driven and Automated Vehicles
Xi Liu, Ke Ma, P. R. Kumar
Currently, we are in an environment where the fraction of automated vehicles is negligibly small. We anticipate that this fraction will increase in coming decades before if ever, w…
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging
Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya +1
Sequential decision making for lifetime maximization is a critical problem in many real-world applications, such as medical treatment and portfolio selection. In these applications…