IEEE

Discretizing Continuous Action Space With Unimodal Probability Distributions for On-Policy Reinforcement Learning

Abstract: For on-policy reinforcement learning (RL), discretizing action space for continuous control can easily express multiple modes and is straightforward to optimize. However, without considering ...

Achieving Both Speed and Quality! The New Training Paradigm TiM, Natively Supports FSDP + Flash Attention

From Stable Diffusion to DiT and the FLUX series, the community has explored many technical methods to accelerate generation speed and improve generation quality. However, development has always ...
The Indianapolis Star

How IU, Purdue would be affected by a brand-based Big Ten revenue distribution model Ohio State hinted at

Ohio State president Ted Carter said Big Ten's equal-share revenue distribution model could be reconsidered when next TV deal is negotiated. The deal paid schools $63 million-plus in FY24. Those ...
IEEE

Spatiotemporal Extrapolation through Conditional Diffusion Probability Models

Abstract: In recent years, spatiotemporal data has played a crucial role in weather, transportation, and disease transmission within the context of the Internet of Things (IoT). However, due to cost ...
Cochrane

Which normal tissue complication probability (NTCP) models are available to predict the risk of radiation-induced side effects after radiotherapy in patients with head and neck ...

° Many NTCP models have been developed to predict unwanted effects following radiotherapy in head and neck cancer patients but most of them have not been sufficiently externally validated, that is, ...