Waytowich, Nicholas R.

11 publications

TMLR 2025 CREW-Wildfire: Benchmarking Agentic Multi-Agent Collaborations at Scale Jonathan Hyun, Nicholas R Waytowich, Boyuan Chen

NeurIPS 2024 GUIDE: Real-Time Human-Shaped Agents Lingyu Zhang, Zhengran Ji, Nicholas R Waytowich, Boyuan Chen

AAAI 2024 Rating-Based Reinforcement Learning Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao

ICMLW 2023 DIP-RL: Demonstration-Inferred Preference Learning in Minecraft Ellen Novoseller, Vinicius G. Goecks, David Watkins, Josh Miller, Nicholas R Waytowich

ICMLW 2023 DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarios Vinicius G. Goecks, Nicholas R Waytowich

ICMLW 2023 Imitation Learning with Human Eye Gaze via Multi-Objective Prediction Ravi Kumar Thakur, Md Sunbeam, Vinicius G. Goecks, Ellen Novoseller, Ritwik Bera, Vernon Lawhern, Greg Gremillion, John Valasek, Nicholas R Waytowich

ICMLW 2023 Rating-Based Reinforcement Learning Devin White, Mingkang Wu, Ellen Novoseller, Vernon Lawhern, Nicholas R Waytowich, Yongcan Cao

CVPR 2023 StarCraftImage: A Dataset for Prototyping Spatial Reasoning Methods for Multi-Agent Environments Sean Kulinski, Nicholas R. Waytowich, James Z. Hare, David I. Inouye

NeurIPSW 2022 Hierarchical Agents by Combining Language Generation and Semantic Goal Directed RL Bharat Prakash, Nicholas R Waytowich, Tim Oates, Tinoosh Mohsenin

AAAI 2019 Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich

AAAI 2018 Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone