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🏢 University of Pittsburgh

Nesterov acceleration despite very noisy gradients
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AI Generated AI Theory Optimization 🏢 University of Pittsburgh
AGNES, a novel accelerated gradient descent algorithm, achieves accelerated convergence even with very noisy gradients, significantly improving training efficiency for machine learning models.
Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication
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Natural Language Processing Human-AI Interaction 🏢 University of Pittsburgh
LangGround: MARL agents learn human-interpretable communication via LLM-grounded training, enabling effective human-agent collaboration.