7 citations · 7 across the 1 of their papers we have counts for
3 papers
cs.AI2022★ 7 cited
Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex
Charles Lovering, Jessica Zosa Forde, George Konidaris +2
AlphaZero, an approach to reinforcement learning that couples neural networks and Monte Carlo tree search (MCTS), has produced state-of-the-art strategies for traditional board gam…
cs.CL2020
Self-play for Data Efficient Language Acquisition
Charles Lovering, Ellie Pavlick
When communicating, people behave consistently across conversational roles: People understand the words they say and are able to produce the words they hear. To date, artificial ag…
cs.CL2020
Does Data Augmentation Improve Generalization in NLP?
Rohan Jha, Charles Lovering, Ellie Pavlick
Neural models often exploit superficial features to achieve good performance, rather than deriving more general features. Overcoming this tendency is a central challenge in areas s…