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Reinforcement Learning via Auxiliary Task Distillationby Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna, Zsolt…
Reinforcement Learning via Auxiliary Task Distillationby Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna, Zsolt…
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MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearningby Jiali Cheng, Hadi AmiriFirst submitted to arxiv…
An Advanced Physics-Informed Neural Operator for Comprehensive Design Optimization of Highly-Nonlinear Systems: An Aerospace Composites…
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learnedby Du Yin, Jinliang Deng, Shuang Ao,…
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networksby…
Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement Learningby Davide Corsi, Davide Camponogara, Alessandro FarinelliFirst…
Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learningby Dongjie Chen, Kartik Patwari, Zhengfeng Lai,…
Large Language Model-Driven Curriculum Design for Mobile Networksby Omar Erak, Omar Alhussein, Shimaa Naser, Nouf…
Verified Safe Reinforcement Learning for Neural Network Dynamic Modelsby Junlin Wu, Huan Zhang, Yevgeniy VorobeychikFirst…