Sullivan, Ryan

8 publications

AAAI 2025 Robust Multi-Objective Preference Alignment with Online DPO Raghav Gupta, Ryan Sullivan, Yunxuan Li, Samrat Phatale, Abhinav Rastogi

NeurIPSW 2024 Conditional Language Policy: A General Framework for Steerable Multi-Objective Finetuning Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Kumar Avinava Dubey, Alexandre Rame, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Leonard Hussenot, Olivier Bachem, Edouard Leurent

NeurIPS 2023 Gradient Informed Proximal Policy Optimization Sanghyun Son, Laura Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming Lin

NeurIPS 2023 Neural MMO 2.0: A Massively Multi-Task Addition to Massively Multi-Agent Learning Joseph Suarez, David Bloomin, Kyoung Whan Choe, Hao Xiang Li, Ryan Sullivan, Nishaanth Kanna, Daniel Scott, Rose Shuman, Herbie Bradley, Louis Castricato, Phillip Isola, Chenghui Yu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu

NeurIPS 2023 Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John Dickerson, Joseph Suarez

NeurIPSW 2023 Syllabus: Curriculum Learning Made Easy Ryan Sullivan

ICML 2022 Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments Ryan Sullivan, Jordan K Terry, Benjamin Black, John P Dickerson

NeurIPS 2021 PettingZoo: Gym for Multi-Agent Reinforcement Learning J KTerry, Benjamin Black, Nathaniel Grammel, Mario Jayakumar, Ananth Hari, Ryan Sullivan, Luis S Santos, Clemens Dieffendahl, Caroline Horsch, Rodrigo Perez-Vicente, Niall Williams, Yashas Lokesh, Praveen Ravi