Search Results for author:
Found 10 papers, 3 papers with code
Student of Games: A unified learning algorithm for both perfect and imperfect information games
Games have a long history as benchmarks for progress in artificial intelligence.
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines
The new formulation allows estimates to be bootstrapped from other estimates within the same episode, propagating the benefits of baselines along the sampled trajectory; the estimates remain unbiased even when bootstrapping from other estimates.
A Boo(n) for Evaluating Architecture Performance
We point out important problems with the common practice of using the best single model performance for comparing deep learning architectures, and we propose a method that corrects these flaws.
Knowledge Base Completion: Baselines Strike Back
Many papers have been published on the knowledge base completion task in the past few years.
Hybrid Dialog State Tracker with ASR Features
This paper presents a hybrid dialog state tracker enhanced by trainable Spoken Language Understanding (SLU) for slot-filling dialog systems.
Embracing data abundance: BookTest Dataset for Reading Comprehension
We show that training on the new data improves the accuracy of our Attention-Sum Reader model on the original CBT test data by a much larger margin than many recent attempts to improve the model architecture.
Text Understanding with the Attention Sum Reader Network
Several large cloze-style context-question-answer datasets have been introduced recently: the CNN and Daily Mail news data and the Children's Book Test.
Ranked #5 on
Open-Domain Question Answering
on SearchQA
(Unigram Acc metric)
Machine Reading Comprehension
Open-Domain Question Answering
Improved Deep Learning Baselines for Ubuntu Corpus Dialogs
The ensemble further improves the performance and it achieves a state-of-the-art result for the next utterance ranking on this dataset.
Hybrid Dialog State Tracker
This paper presents a hybrid dialog state tracker that combines a rule based and a machine learning based approach to belief state tracking.
