Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
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Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RL
by Juzheng Zhang, Disha Makhija, Manoj Ghuhan Arivazhagan, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah
Epidemiological Causal Graph Identification: Challenges, Identifiability and Algorithms
by Sambit Mishra, Yingying Wang, Christine K. Johnson, Urbashi Mitra
MAGNETAR: Multipath-Guided Spatial Posteriors for Transmitter Pose Inference in the Upper Mid-Band
by Haozhe Lei, Ruibin Chen, Yuhan Jiang, Ali Rasteh, Aditya Dhananjay, Sundeep Rangan
Exponential Hardness of Off-Policy Evaluation under History-Dependent Logging
by Pranaya Jajoo
rMuscle: Robotic Muscle Memory for Efficient Vision-Language-Action Model Inference
by Kaijun Zhou, Zhiyang Li, Le Chen, Jinyu Gu
Probabilistic Linear Explanations
by Frederic Koriche, Jean-Marie Lagniez, Chi Tran
Double descent is the principle of least action
by Congzhou M Sha
RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control
by Bernd Frauenknecht, Emma Cramer, Artur Eisele, Paul Kruse, Lukas Kesper, Jonas Hertrampf, Ramil Sabirov, Jyotirmaya Patra, Johannes Berger, Paul Brunzema, Friedrich Solowjow, Sebastian Trimpe
ENCP: Episode-Normalized Conformal Prediction for Vision-and-Language Navigation
by Vicky Feliren, A. Taufiq Asyhari, Muhamad Risqi U. Saputra
FreqSpaNet: Frequency and Spatial Learning of SFPF for Physical Layer Hardware Integrity Detection
by Xiaoxuan Huang, Jinlong Xu, YiZhe Wang, Meng Zhang, Xian Li, Yuying Bian