Expert-Space Exploration in MoE Reinforcement Learning
The paper studies expert routing as an underused source of rollout diversity in reinforcement learning post-training of Mixture-of-Experts language models,…
The paper studies expert routing as an underused source of rollout diversity in reinforcement learning post-training of Mixture-of-Experts language models,…
The paper introduces Minimal Intervention Reinforcement Learning (MInTRL), which expands the exploration frontier of on-policy RL with verifiable rewards by…
The paper addresses exploration-strategy management for recursive self-improvement in autonomous AI agents by building a framework that treats historical discovery…
The paper introduces TREVIS, a method for learning decision trees that jointly optimizes predictive accuracy and structural sparsity by mapping…
The authors identify a Matthew Effect in reinforcement learning for LLMs, where easy problems receive large accuracy gains during training…
HazardAuditor is an execution-grounded framework for training safety guard models for computer-use AI agents, addressing the gap between static prompt/response…
Elon Musk’s X Corp and SpaceXAI asked a federal court in Texas to dismiss with prejudice their antitrust claims against…
LawZero, the Montreal-based nonprofit AI safety lab founded by Turing Award winner Yoshua Bengio, received a joint commitment of up…
Shanghai Biren Technology, a US-blacklisted Chinese GPU maker positioning itself as a domestic Nvidia alternative, is weighing a roughly $1…
Profound, a New York-based startup that helps brands optimize their visibility in AI chatbot answers (Answer Engine Optimization), raised a…
Emerald AI, Google, and Nvidia announced the launch of the AI Energy Management Alliance (AEMA) on September 16, 2026, a…
Amsterdam-based Fortaegis raised an oversubscribed $50 million Series A, led by Singapore’s Serendipity Capital, to commercialize chip-based ‘Secure Compute’ security…