Saved in:
| Main Authors: | Gokhale, Anand, Srivastava, Vaibhav, Bullo, Francesco |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.03293 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning
by: Gokhale, Anand, et al.
Published: (2026)
by: Gokhale, Anand, et al.
Published: (2026)
Automata Learning of Preferences over Temporal Logic Formulas from Pairwise Comparisons
by: Rahmani, Hazhar, et al.
Published: (2025)
by: Rahmani, Hazhar, et al.
Published: (2025)
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations
by: Wang, Yanwei, et al.
Published: (2022)
by: Wang, Yanwei, et al.
Published: (2022)
ACING: Actor-Critic for Instruction Learning in Black-Box LLMs
by: Kharrat, Salma, et al.
Published: (2024)
by: Kharrat, Salma, et al.
Published: (2024)
Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
by: Kamboj, Ankur, et al.
Published: (2026)
by: Kamboj, Ankur, et al.
Published: (2026)
Scaling Learning based Policy Optimization for Temporal Logic Tasks by Controller Network Dropout
by: Hashemi, Navid, et al.
Published: (2024)
by: Hashemi, Navid, et al.
Published: (2024)
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks
by: Liu, Ruijia, et al.
Published: (2025)
by: Liu, Ruijia, et al.
Published: (2025)
Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems
by: Chen, Lingjiao, et al.
Published: (2024)
by: Chen, Lingjiao, et al.
Published: (2024)
ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise
by: Guo, Xingang, et al.
Published: (2024)
by: Guo, Xingang, et al.
Published: (2024)
Context, Reasoning, and Hierarchy: A Cost-Performance Study of Compound LLM Agent Design in an Adversarial POMDP
by: Bogdanov, Igor, et al.
Published: (2026)
by: Bogdanov, Igor, et al.
Published: (2026)
Sustainable Edge Intelligence Through Energy-Aware Early Exiting
by: Bullo, Marcello, et al.
Published: (2023)
by: Bullo, Marcello, et al.
Published: (2023)
Provably Safe Neural Network Controllers via Differential Dynamic Logic
by: Teuber, Samuel, et al.
Published: (2024)
by: Teuber, Samuel, et al.
Published: (2024)
Fine-tuning Smaller Language Models for Question Answering over Financial Documents
by: Phogat, Karmvir Singh, et al.
Published: (2024)
by: Phogat, Karmvir Singh, et al.
Published: (2024)
Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement
by: Xie, Guanwen, et al.
Published: (2024)
by: Xie, Guanwen, et al.
Published: (2024)
PreFT: Prefill-only finetuning for efficient inference
by: Lanpouthakoun, Andrew, et al.
Published: (2026)
by: Lanpouthakoun, Andrew, et al.
Published: (2026)
Most Likely Sequence Generation for $n$-Grams, Transformers, HMMs, and Markov Chains, by Using Rollout Algorithms
by: Li, Yuchao, et al.
Published: (2024)
by: Li, Yuchao, et al.
Published: (2024)
Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2024)
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2024)
Movement Control of Smart Mosque's Domes using CSRNet and Fuzzy Logic Techniques
by: Blasi, Anas H., et al.
Published: (2024)
by: Blasi, Anas H., et al.
Published: (2024)
FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast
by: Bogdanov, Igor, et al.
Published: (2026)
by: Bogdanov, Igor, et al.
Published: (2026)
Proximal Gradient Dynamics: Monotonicity, Exponential Convergence, and Applications
by: Gokhale, Anand, et al.
Published: (2024)
by: Gokhale, Anand, et al.
Published: (2024)
Logical Structure as Knowledge: Enhancing LLM Reasoning via Structured Logical Knowledge Density Estimation
by: Bi, Zhen, et al.
Published: (2025)
by: Bi, Zhen, et al.
Published: (2025)
Energy-Aware Dynamic Neural Inference
by: Bullo, Marcello, et al.
Published: (2024)
by: Bullo, Marcello, et al.
Published: (2024)
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
by: Zhang, Yang, et al.
Published: (2024)
by: Zhang, Yang, et al.
Published: (2024)
A Survey on Large Language Model-empowered Autonomous Driving
by: Zhu, Yuxuan, et al.
Published: (2024)
by: Zhu, Yuxuan, et al.
Published: (2024)
Stochastic Actor-Critic: Mitigating Overestimation via Temporal Aleatoric Uncertainty
by: Özalp, Uğurcan
Published: (2026)
by: Özalp, Uğurcan
Published: (2026)
Improving Mixed-Criticality Scheduling with Reinforcement Learning
by: El-Mahdy, Muhammad, et al.
Published: (2025)
by: El-Mahdy, Muhammad, et al.
Published: (2025)
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
by: Lin, Bill Yuchen, et al.
Published: (2025)
by: Lin, Bill Yuchen, et al.
Published: (2025)
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents
by: Lehna, Malte, et al.
Published: (2023)
by: Lehna, Malte, et al.
Published: (2023)
DR. WELL: Dynamic Reasoning and Learning with Symbolic World Model for Embodied LLM-Based Multi-Agent Collaboration
by: Nourzad, Narjes, et al.
Published: (2025)
by: Nourzad, Narjes, et al.
Published: (2025)
Data-driven Power Loss Identification through Physics-Based Thermal Model Backpropagation
by: Scarpa, Mattia, et al.
Published: (2025)
by: Scarpa, Mattia, et al.
Published: (2025)
LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts
by: Xiao, Yijia, et al.
Published: (2024)
by: Xiao, Yijia, et al.
Published: (2024)
Legal2LogicICL: Improving Generalization in Transforming Legal Cases to Logical Formulas via Diverse Few-Shot Learning
by: Xue, Jieying, et al.
Published: (2026)
by: Xue, Jieying, et al.
Published: (2026)
Application of Soft Actor-Critic Algorithms in Optimizing Wastewater Treatment with Time Delays Integration
by: Mohammadi, Esmaeel, et al.
Published: (2024)
by: Mohammadi, Esmaeel, et al.
Published: (2024)
LLM Assertiveness can be Mechanistically Decomposed into Emotional and Logical Components
by: Tsujimura, Hikaru, et al.
Published: (2025)
by: Tsujimura, Hikaru, et al.
Published: (2025)
MOTIF: Modular Thinking via Reinforcement Fine-tuning in LLMs
by: Mitra, Purbesh, et al.
Published: (2025)
by: Mitra, Purbesh, et al.
Published: (2025)
A Unified Generative-AI Framework for Smart Energy Infrastructure: Intelligent Gas Distribution, Utility Billing, Carbon Analytics, and Quantum-Inspired Optimisation
by: Manjunath, Pavan, et al.
Published: (2026)
by: Manjunath, Pavan, et al.
Published: (2026)
Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges
by: Liu, Qin, et al.
Published: (2024)
by: Liu, Qin, et al.
Published: (2024)
FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation
by: Mitra, Shaswata, et al.
Published: (2025)
by: Mitra, Shaswata, et al.
Published: (2025)
MisSynth: Improving MISSCI Logical Fallacies Classification with Synthetic Data
by: Poliakov, Mykhailo, et al.
Published: (2025)
by: Poliakov, Mykhailo, et al.
Published: (2025)
Value Functions for Temporal Logic: Optimal Policies and Safety Filters
by: So, Oswin, et al.
Published: (2026)
by: So, Oswin, et al.
Published: (2026)
Similar Items
-
A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning
by: Gokhale, Anand, et al.
Published: (2026) -
Automata Learning of Preferences over Temporal Logic Formulas from Pairwise Comparisons
by: Rahmani, Hazhar, et al.
Published: (2025) -
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations
by: Wang, Yanwei, et al.
Published: (2022) -
ACING: Actor-Critic for Instruction Learning in Black-Box LLMs
by: Kharrat, Salma, et al.
Published: (2024) -
Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
by: Kamboj, Ankur, et al.
Published: (2026)