Kianté Brantley

According to our database, Kianté Brantley authored at least 27 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Diffusing States and Matching Scores: A New Framework for Imitation Learning.

Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, Wen Sun

CoRR, 2024

LLMs Are In-Context Reinforcement Learners.

Giovanni Monea, Antoine Bosselut, Kianté Brantley, Yoav Artzi

CoRR, 2024

Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF.

Zhaolin Gao, Wenhao Zhan, Jonathan D. Chang, Gokul Swamy, Kianté Brantley, Jason D. Lee, Wen Sun

CoRR, 2024

REBEL: Reinforcement Learning via Regressing Relative Rewards.

Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, J. Andrew Bagnell, Jason D. Lee, Wen Sun

CoRR, 2024

Dataset Reset Policy Optimization for RLHF.

Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Kianté Brantley, Dipendra Misra, Jason D. Lee, Wen Sun

CoRR, 2024

RL for Consistency Models: Faster Reward Guided Text-to-Image Generation.

Owen Oertell, Jonathan D. Chang, Yiyi Zhang, Kianté Brantley, Wen Sun

CoRR, 2024

A Surprising Failure? Multimodal LLMs and the NLVR Challenge.

Anne Wu, Kianté Brantley, Yoav Artzi

CoRR, 2024

Reviewer2: Optimizing Review Generation Through Prompt Generation.

Zhaolin Gao, Kianté Brantley, Thorsten Joachims

CoRR, 2024

Ranking with Long-Term Constraints.

Kianté Brantley, Zhichong Fang, Sarah Dean, Thorsten Joachims

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

RL for Consistency Models: Reward Guided Text-to-Image Generation with Fast Inference.

Owen Oertell, Jonathan D. Chang, Yiyi Zhang, Kianté Brantley, Wen Sun

RLJ, 2024

Coactive Learning for Large Language Models using Implicit User Feedback.

Aaron David Tucker, Kianté Brantley, Adam Cahall, Thorsten Joachims

Proceedings of the Forty-first International Conference on Machine Learning, 2024

When is Transfer Learning Possible?

My Phan, Kianté Brantley, Stephanie Milani, Soroush Mehri, Gokul Swamy, Geoffrey J. Gordon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adversarial Imitation Learning via Boosting.

Jonathan D. Chang, Dhruv Sreenivas, Yingbing Huang, Kianté Brantley, Wen Sun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Policy-Gradient Training of Language Models for Ranking.

Ge Gao, Jonathan D. Chang, Claire Cardie, Kianté Brantley, Thorsten Joachims

CoRR, 2023

Learning to Generate Better Than Your LLM.

Jonathan D. Chang, Kianté Brantley, Rajkumar Ramamurthy, Dipendra Misra, Wen Sun

CoRR, 2023

Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization.

Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Interactive Text Generation.

Felix Faltings, Michel Galley, Kianté Brantley, Baolin Peng, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

lilGym: Natural Language Visual Reasoning with Reinforcement Learning.

Anne Wu, Kianté Brantley, Noriyuki Kojima, Yoav Artzi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

Expert-in-the-Loop for Sequential Decisions and Predictions.

Kianté Brantley

PhD thesis, 2021

Successor Feature Sets: Generalizing Successor Representations Across Policies.

Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Constrained episodic reinforcement learning in concave-convex and knapsack settings.

Kianté Brantley, Miroslav Dudík, Thodoris Lykouris, Sobhan Miryoosefi, Max Simchowitz, Aleksandrs Slivkins, Wen Sun

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Disagreement-Regularized Imitation Learning.

Kianté Brantley, Wen Sun, Mikael Henaff

Proceedings of the 8th International Conference on Learning Representations, 2020

Active Imitation Learning with Noisy Guidance.

Kianté Brantley, Hal Daumé III, Amr Sharaf

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Reinforcement Learning with Convex Constraints.

Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudík, Robert E. Schapire

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Non-Monotonic Sequential Text Generation.

Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task.

Amr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III

Proceedings of the Second Conference on Machine Translation, 2017

2015

LDAExplore: Visualizing Topic Models Generated Using Latent Dirichlet Allocation.

Ashwinkumar Ganesan, Kianté Brantley, Shimei Pan, Jian Chen

CoRR, 2015