| Is reinforcement learning (not) for natural language processing?: Benchmarks, baselines, and building blocks for natural language policy optimization R Ramamurthy, P Ammanabrolu, K Brantley, J Hessel, R Sifa, ... The Eleventh International Conference on Learning Representations, 2023 | 151* | 2023 |
| Non-monotonic sequential text generation S Welleck, K Brantley, HD Iii, K Cho International Conference on Machine Learning, 6716-6726, 2019 | 128 | 2019 |
| Disagreement-regularized imitation learning K Brantley, W Sun, M Henaff International Conference on Learning Representations, 2019 | 106 | 2019 |
| Reinforcement learning with convex constraints S Miryoosefi, K Brantley, H Daume III, M Dudik, RE Schapire Advances in neural information processing systems 32, 2019 | 94 | 2019 |
| Constrained episodic reinforcement learning in concave-convex and knapsack settings K Brantley, M Dudik, T Lykouris, S Miryoosefi, M Simchowitz, A Slivkins, ... Advances in Neural Information Processing Systems 33, 16315-16326, 2020 | 49 | 2020 |
| Ldaexplore: Visualizing topic models generated using latent dirichlet allocation A Ganesan, K Brantley, S Pan, J Chen arXiv preprint arXiv:1507.06593, 2015 | 30 | 2015 |
| Active imitation learning with noisy guidance K Brantley, A Sharaf, H Daumé III arXiv preprint arXiv:2005.12801, 2020 | 17 | 2020 |
| Successor feature sets: Generalizing successor representations across policies K Brantley, S Mehri, GJ Gordon Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11774 …, 2021 | 11 | 2021 |
| Learning to Generate Better Than Your LLM JD Chang, K Brantley, R Ramamurthy, D Misra, W Sun arXiv preprint arXiv:2306.11816, 2023 | 9 | 2023 |
| The umd neural machine translation systems at wmt17 bandit learning task A Sharaf, S Feng, K Nguyen, K Brantley, H Daumé III arXiv preprint arXiv:1708.01318, 2017 | 4 | 2017 |
| Interactive text generation F Faltings, M Galley, B Peng, K Brantley, W Cai, Y Zhang, J Gao, B Dolan arXiv preprint arXiv:2303.00908, 2023 | 3 | 2023 |
| lilGym: Natural Language Visual Reasoning with Reinforcement Learning A Wu, K Brantley, N Kojima, Y Artzi arXiv preprint arXiv:2211.01994, 2022 | 2 | 2022 |
| Ranking with Long-Term Constraints K Brantley, Z Fang, S Dean, T Joachims Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 1 | 2024 |
| Reviewer2: Optimizing Review Generation Through Prompt Generation Z Gao, K Brantley, T Joachims arXiv preprint arXiv:2402.10886, 2024 | 1 | 2024 |
| Expert-in-the-Loop for Sequential Decisions and Predictions K Brantley University of Maryland, College Park, 2021 | 1 | 2021 |
| BCAP: An Artificial Neural Network Pruning Technique to Reduce Overfitting K Brantley University of Maryland, Baltimore County, 2016 | 1 | 2016 |
| Dataset Reset Policy Optimization for RLHF JD Chang, W Shan, O Oertell, K Brantley, D Misra, JD Lee, W Sun arXiv preprint arXiv:2404.08495, 2024 | | 2024 |
| RL for Consistency Models: Faster Reward Guided Text-to-Image Generation O Oertell, JD Chang, Y Zhang, K Brantley, W Sun arXiv preprint arXiv:2404.03673, 2024 | | 2024 |
| A Surprising Failure? Multimodal LLMs and the NLVR Challenge A Wu, K Brantley, Y Artzi arXiv preprint arXiv:2402.17793, 2024 | | 2024 |
| Adversarial Imitation Learning via Boosting JD Chang, D Sreenivas, Y Huang, K Brantley, W Sun The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
Wen SunAssistant Professor, Cornell UniversityVerified email at cornell.edu
