research
∙
08/25/2023
On the Depth between Beam Search and Exhaustive Search for Text Generation
Beam search and exhaustive search are two extreme ends of text decoding ...
share
research
∙
07/13/2023
Why Guided Dialog Policy Learning performs well? Understanding the role of adversarial learning and its alternative
Dialog policies, which determine a system's action based on the current ...
research
∙
06/08/2023
Safe Collaborative Filtering
Excellent tail performance is crucial for modern machine learning tasks,...
research
∙
06/02/2022
Policy Gradient Algorithms with Monte-Carlo Tree Search for Non-Markov Decision Processes
Policy gradient (PG) is a reinforcement learning (RL) approach that opti...
research
∙
07/02/2019
Visual analytics for team-based invasion sports with significant events and Markov reward process
In team-based invasion sports such as soccer and basketball, analytics i...
research
∙
06/16/2019
Sampler for Composition Ratio by Markov Chain Monte Carlo
Invention involves combination, or more precisely, ratios of composition...
research
∙
03/15/2012