9 citations · 10 across the 5 of their papers we have counts for
5 papers
Exploring Novel Quality Diversity Methods For Generalization in Reinforcement Learning
Brad Windsor, Brandon O'Shea, Mengxi Wu
The Reinforcement Learning field is strong on achievements and weak on reapplication; a computer playing GO at a super-human level is still terrible at Tic-Tac-Toe. This paper asks…
SASS: Data and Methods for Subject Aware Sentence Simplification
Brad Windsor, Luke Martin, Anand Tyagi
Sentence simplification tends to focus on the generic simplification of sentences by making them more readable and easier to understand. This paper provides a dataset aimed at trai…
Thistle: A Vector Database in Rust
Brad Windsor, Kevin Choi
We present Thistle, a fully functional vector database. Thistle is an entry into the domain of latent knowledge use in answering search queries, an ongoing research topic at both s…
Long Document Summarization in a Low Resource Setting using Pretrained Language Models
Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna +7
Abstractive summarization is the task of compressing a long document into a coherent short document while retaining salient information. Modern abstractive summarization methods ar…
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains
James Bannon, Brad Windsor, Wenbo Song +1
Reinforcement learning algorithms have had tremendous successes in online learning settings. However, these successes have relied on low-stakes interactions between the algorithmic…