Kianté Brantley

51 papers A* 14A 1Journal 32Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLMs Can Learn to Reason Via Off-Policy RL. CoRR Daniel Ritter, Owen Oertell, Bradley Guo, Jonathan D. Chang, Kianté Brantley, Wen Sun
2026	J	`jnl`	Scaling Reward Modeling without Human Supervision. CoRR Jingxuan Fan, Yueying Li, Zhenting Qi, Dinghuai Zhang, Kianté Brantley, Sham M. Kakade, Hanlin Zhang
2025	J	`jnl`	Accelerating RL for LLM Reasoning with Optimal Advantage Regression. CoRR Kianté Brantley, Mingyu Chen, Zhaolin Gao, Jason D. Lee, Wen Sun, Wenhao Zhan, Xuezhou Zhang
2025	J	`jnl`	Breadcrumbs Reasoning: Memory-Efficient Reasoning with Compression Beacons. CoRR Giovanni Monea, Yair Feldman, Shankar Padmanabhan, Kianté Brantley, Yoav Artzi
2025	A*	`conf`	Diffusing States and Matching Scores: A New Framework for Imitation Learning. ICLR Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, Wen Sun
2025	J	`jnl`	Expressive Value Learning for Scalable Offline Reinforcement Learning. CoRR Nicolas A. Espinosa Dice, Kianté Brantley, Wen Sun
2025	J	`jnl`	Q♯: Provably Optimal Distributional RL for LLM Post-Training. CoRR Jin Peng Zhou, Kaiwen Wang, Jonathan D. Chang, Zhaolin Gao, Nathan Kallus, Kilian Q. Weinberger, Kianté Brantley, Wen Sun
2025	A*	`conf`	Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF. ICLR Zhaolin Gao, Wenhao Zhan, Jonathan Daniel Chang, Gokul Swamy, Kianté Brantley, Jason D. Lee, Wen Sun
2025	J	`jnl`	Scaling Offline RL via Efficient and Expressive Shortcut Models. CoRR Nicolas A. Espinosa Dice, Yiyi Zhang, Yiding Chen, Bradley Guo, Owen Oertell, Gokul Swamy, Kianté Brantley, Wen Sun
2025	J	`jnl`	The Emergence of Complex Behavior in Large-Scale Ecological Environments. CoRR Joseph Bejjani, Chase Van Amburg, Chengrui Wang, Chloe Huangyuan Su, Sarah M. Pratt, Yasin Mazloumi, Naeem Khoshnevis, Sham M. Kakade, Kianté Brantley, Aaron Walsman
2025	J	`jnl`	Value-Guided Search for Efficient Chain-of-Thought Reasoning. CoRR Kaiwen Wang, Jin Peng Zhou, Jonathan D. Chang, Zhaolin Gao, Nathan Kallus, Kianté Brantley, Wen Sun
2024	J	`jnl`	A Surprising Failure? Multimodal LLMs and the NLVR Challenge. CoRR Anne Wu, Kianté Brantley, Yoav Artzi
2024	A*	`conf`	Adversarial Imitation Learning via Boosting. ICLR Jonathan D. Chang, Dhruv Sreenivas, Yingbing Huang, Kianté Brantley, Wen Sun
2024	J	`jnl`	Adversarial Imitation Learning via Boosting. CoRR Jonathan D. Chang, Dhruv Sreenivas, Yingbing Huang, Kianté Brantley, Wen Sun
2024	A*	`conf`	Coactive Learning for Large Language Models using Implicit User Feedback. ICML Aaron David Tucker, Kianté Brantley, Adam Cahall, Thorsten Joachims
2024	J	`jnl`	Dataset Reset Policy Optimization for RLHF. CoRR Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Kianté Brantley, Dipendra Misra, Jason D. Lee, Wen Sun
2024	J	`jnl`	Diffusing States and Matching Scores: A New Framework for Imitation Learning. CoRR Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, Wen Sun
2024	J	`jnl`	LLMs Are In-Context Reinforcement Learners. CoRR Giovanni Monea, Antoine Bosselut, Kianté Brantley, Yoav Artzi
2024	A*	`conf`	REBEL: Reinforcement Learning via Regressing Relative Rewards. NeurIPS Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, Drew Bagnell, Jason D. Lee, Wen Sun
2024	J	`jnl`	REBEL: Reinforcement Learning via Regressing Relative Rewards. CoRR Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, J. Andrew Bagnell, Jason D. Lee, Wen Sun
2024	J	`jnl`	RL for Consistency Models: Faster Reward Guided Text-to-Image Generation. CoRR Owen Oertell, Jonathan D. Chang, Yiyi Zhang, Kianté Brantley, Wen Sun
2024	J	`jnl`	RL for Consistency Models: Reward Guided Text-to-Image Generation with Fast Inference. RLJ Owen Oertell, Jonathan D. Chang, Yiyi Zhang, Kianté Brantley, Wen Sun
2024	A	`conf`	Ranking with Long-Term Constraints. WSDM Kianté Brantley, Zhichong Fang, Sarah Dean, Thorsten Joachims
2024	J	`jnl`	Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF. CoRR Zhaolin Gao, Wenhao Zhan, Jonathan D. Chang, Gokul Swamy, Kianté Brantley, Jason D. Lee, Wen Sun
2024	J	`jnl`	Reviewer2: Optimizing Review Generation Through Prompt Generation. CoRR Zhaolin Gao, Kianté Brantley, Thorsten Joachims
2024	A*	`conf`	When is Transfer Learning Possible? ICML My Phan, Kianté Brantley, Stephanie Milani, Soroush Mehri, Gokul Swamy, Geoffrey J. Gordon
2023	A*	`conf`	Interactive Text Generation. EMNLP Felix Faltings, Michel Galley, Kianté Brantley, Baolin Peng, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan
2023	J	`jnl`	Interactive Text Generation. CoRR Felix Faltings, Michel Galley, Baolin Peng, Kianté Brantley, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan
2023	A*	`conf`	Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. ICLR Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi
2023	J	`jnl`	Learning to Generate Better Than Your LLM. CoRR Jonathan D. Chang, Kianté Brantley, Rajkumar Ramamurthy, Dipendra Misra, Wen Sun
2023	J	`jnl`	Policy-Gradient Training of Language Models for Ranking. CoRR Ge Gao, Jonathan D. Chang, Claire Cardie, Kianté Brantley, Thorsten Joachims
2023	J	`jnl`	Ranking with Long-Term Constraints. CoRR Kianté Brantley, Zhichong Fang, Sarah Dean, Thorsten Joachims
2023	—	`conf`	lilGym: Natural Language Visual Reasoning with Reinforcement Learning. ACL (1) Anne Wu, Kianté Brantley, Noriyuki Kojima, Yoav Artzi
2022	J	`jnl`	Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. CoRR Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi
2022	J	`jnl`	lilGym: Natural Language Visual Reasoning with Reinforcement Learning. CoRR Anne Wu, Kianté Brantley, Noriyuki Kojima, Yoav Artzi
2021	—	`—`	Expert-in-the-Loop for Sequential Decisions and Predictions. Kianté Brantley
2021	A*	`conf`	Successor Feature Sets: Generalizing Successor Representations Across Policies. AAAI Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon
2021	J	`jnl`	Successor Feature Sets: Generalizing Successor Representations Across Policies. CoRR Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon
2020	A*	`conf`	Active Imitation Learning with Noisy Guidance. ACL Kianté Brantley, Hal Daumé III, Amr Sharaf
2020	J	`jnl`	Active Imitation Learning with Noisy Guidance. CoRR Kianté Brantley, Amr Sharaf, Hal Daumé III
2020	A*	`conf`	Constrained episodic reinforcement learning in concave-convex and knapsack settings. NeurIPS Kianté Brantley, Miroslav Dudík, Thodoris Lykouris, Sobhan Miryoosefi, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
2020	J	`jnl`	Constrained episodic reinforcement learning in concave-convex and knapsack settings. CoRR Kianté Brantley, Miroslav Dudík, Thodoris Lykouris, Sobhan Miryoosefi, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
2020	A*	`conf`	Disagreement-Regularized Imitation Learning. ICLR Kianté Brantley, Wen Sun, Mikael Henaff
2019	—	`conf`	Non-Monotonic Sequential Text Generation. WNLP@ACL Kianté Brantley, Kyunghyun Cho, Hal Daumé III, Sean Welleck
2019	A*	`conf`	Non-Monotonic Sequential Text Generation. ICML Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho
2019	J	`jnl`	Non-Monotonic Sequential Text Generation. CoRR Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho
2019	A*	`conf`	Reinforcement Learning with Convex Constraints. NeurIPS Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudík, Robert E. Schapire
2019	J	`jnl`	Reinforcement Learning with Convex Constraints. CoRR Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudík, Robert E. Schapire
2017	—	`conf`	The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task. WMT Amr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III
2017	J	`jnl`	The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task. CoRR Amr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III
2015	J	`jnl`	LDAExplore: Visualizing Topic Models Generated Using Latent Dirichlet Allocation. CoRR Ashwinkumar Ganesan, Kianté Brantley, Shimei Pan, Jian Chen