Kianté Brantley

I am a fifth year PhD student in Computer Science at The University of Maryland College Park advised by Hal Daumé III. I am a member of the UMD CLIP Lab, UMBC CORAL Lab and NYU CILVR lab. I did my undergrad degree in Computer Science at the University of Maryland Baltimore County. I also did my Master degree in Computer Science at the University of Baltimore County advised by Tim Oates.

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Research

I'm interested in designing algorithms that efficiently integrate domain knowledge into sequential decision making problems (e.g. reinforcement learning, imitation learning and structure prediction for natural language processing).

News

Publications
Successor Feature Sets: Generalizing Successor Representations Across Policies
Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon
Association for the Advancement of Artificial Intelligence, 2021
[abstract] [poster] [slides]

Constrained episodic reinforcement learning in concave-convex and knapsack settings
Kianté Brantley, Miroslav Dudik, Thodoris Lykouris, Sobhan Miryoosefi, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
Conference on Neural Information Processing Systems (NeurIPS), 2020
[abstract] [code] [poster]

Active Imitation Learning with Noisy Guidance
Kianté Brantley, Amr Sharaf, Hal Daumé III
Association for Computational Linguistics (ACL), 2020
[abstract] [code] [poster] [slides] [video]

Disagreement-Regularized Imitation Learning
Kianté Brantley, Wen Sun, Mikael Henaff
International Conference on Learning Representations (ICLR), 2020 (Spotlight)
[abstract] [code] [poster] [slides] [video]

Non-monotonic sequential text generation
Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho
International Conference on Machine Learning (ICML), 2019
[abstract] [code] [poster] [slides] [video]

Reinforcement Learning with Convex Constraints
Sobhan Miryoosefi*, Kianté Brantley*, Hal Daumé III, Miro Dudik, Robert Schapire
Conference on Neural Information Processing Systems (NeurIPS), 2019
[abstract] [code] [poster] [slides]

The umd neural machine translation systems at wmt17 bandit learning task
Amr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III
Second Conference on Machine Translation, 2017
[abstract] [poster]

BCAP: An Artificial Neural Network Pruning Technique to Reduce Overfitting
Kianté Brantley
University of Maryland, Baltimore County Master Thesis, 2016
[abstract] [slides]

LDAexplore: Visualizing topic models generated using latent dirichlet allocation
Ashwinkumar Ganesan, Kianté Brantley, Shimei Pan, Jian Chen
extvis Workshop - Intelligent User Interfaces (IUI), 2015
[abstract] [code] [slides]

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