My research interests include LLM agents for multi-turn decision making, LLM alignment from feedback, code generation, and LLM’s for games/entertainment.
Research Papers:
Nottingham, Kolby, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox. “Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills.” Proceedings of the 40th International Conference on Machine Learning (2024).
ICML 2024
Nottingham, Kolby, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, and Sameer Singh. “Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors.” North American Chapter of the Association for Computational Linguistics (2023).
NAACL 2024
Nottingham, Kolby, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Sameer Singh, and Roy Fox. “Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling.” Proceedings of the 39th International Conference on Machine Learning (2023).
ICML 2023
Nottingham, Kolby, Alekhya Pyla, Sameer Singh, and Roy Fox. “Learning to Query Internet Text for Informing Reinforcement Learning Agents.” Reinforcement Learning and Decision Making Conference (2022).
RLDM 2022
Kirby, Robert, Kolby Nottingham, Rajarshi Roy, Saad Godil, and Bryan Catanzaro. “Guiding Global Placement With Reinforcement Learning.” arXiv preprint arXiv:2109.02631 (2021).
arxiv
Nottingham, Kolby, Litian Liang, Daeyun Shin, Charless C. Fowlkes, Roy Fox, and Sameer Singh. “Modular Framework for Visuomotor Language Grounding.” Embodied AI Workshop (2021).
workshop
Nottingham, Kolby, Anand Balakrishnan, Jyotirmoy Deshmukh, and David Wingate. “Using logical specifications of objectives in multi-objective reinforcement learning.” Human-AI Collaboration in Sequential Decision-Making (2021).
workshop