Optimizing Thin-Film Deposition via Adaptive Q-Learning for E-Beam Evaporation
💬Prompt Engineering
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Information Gain-based Policy Optimization: A Simple and Effective Approach forMulti-Turn LLM Agents
💬Prompt Engineering
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Neural Green's Functions
arxiv.org·6h
🧮Embeddings
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Beyond Standard LLMs
🤖Transformers
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Post-training methods for language models
developers.redhat.com·1d
💬Prompt Engineering
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Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
arxiv.org·6h
📊Dynamic Programming
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Enhancing Diffusion-based Restoration Models via Difficulty-Adaptive Reinforcement Learning with IQA Reward
arxiv.org·1d
📱Edge AI
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Algorithmic Alchemy: Transmuting Dynamic Programming with Gradients by Arvind Sundararajan
📊Dynamic Programming
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Logic-informed reinforcement learning for cross-domain optimization of large-scale cyber-physical systems
arxiv.org·1d
💬Prompt Engineering
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The Next Frontier in NLP: Smarter Agents, Not Just Bigger Models
pub.towardsai.net·6h
💬Prompt Engineering
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Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games
arxiv.org·1d
🎮Game Theory
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Topographical sparse mapping: A training framework for deep learning models
👁️Computer Vision
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Augmenting learning in neuro-embodied systems through neurobiological first principles
arxiv.org·1d
🔲Cellular Automata
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Dynamic Model Selection for Trajectory Prediction via Pairwise Ranking and Meta-Features
arxiv.org·1d
🧠Machine Learning
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SAIL-RL: Guiding MLLMs in When and How to Think via Dual-Reward RL Tuning
arxiv.org·6h
💬Prompt Engineering
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What to Do When Your Credit Risk Model Works Today, but Breaks Six Months Later
towardsdatascience.com·17h
⚡Incremental Computation
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