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TBPN, Silicon Valley's cult-favorite tech podcast, will operate independently, even as it's overseen by chief political operative Chris Lehane.
arXiv:2604.01613v1 Announce Type: new Abstract: In reinforcement learning (RL), temporal difference (TD) errors are widely adopted for optimizing value and policy functions. However, since the …
Judge gave authors an easier attack on Meta’s torrenting. Meta hopes SCOTUS ruling will block it.
arXiv:2604.00477v1 Announce Type: new Abstract: LLM-based agent judges are an emerging approach to evaluating conversational AI, yet a fundamental uncertainty remains: can we trust their …
arXiv:2604.01477v1 Announce Type: new Abstract: Reinforcement learning (RL) and model predictive control (MPC) offer complementary strengths, yet combining them at scale remains computationally challenging. We …
NeurIPS 2026 Call for Position Papers We invite the submission of position papers to be published at the NeurIPS 2026 conference. Position papers argue for …
March 30 2026 What’s new for the Position Paper Track at NeurIPS 2026 Communication Chairs 2026 2026 Conference We are excited to announce the Position …
Cops arrest Woods after incident.
March 30 2026 Retrospective on PAT x ICML 2026 AI Paper Assistant Program Gautam Kamath ICML 2026 By Google Researchers Rajesh Jayaram and Vincent Cohen-Addad, …
arXiv:2604.00438v1 Announce Type: new Abstract: In-Context Reinforcement Learning (ICRL) enables Large Language Models (LLMs) to learn online from external rewards directly within the context window. …
Ring's app store will allow the company to target broader use cases beyond security, like elder care or business needs.
arXiv:2604.01313v1 Announce Type: new Abstract: High-fidelity Monte Carlo simulations and complex inverse problems, such as mapping smeared experimental observations to ground-truth states, are computationally intensive …
