Adaptive Minds: Empowering Agents with LoRA-as-Tools
Fuente:
arXiv
Saved in:
| Main Authors: | Shekar, Pavan C, Krishnan, Ashwanth |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AI Agents: Evolution, Architecture, and Real-World Applications
by: Krishnan, Naveen
Published: (2025)
by: Krishnan, Naveen
Published: (2025)
Memory-Augmented State Machine Prompting: A Novel LLM Agent Framework for Real-Time Strategy Games
by: Qi, Runnan, et al.
Published: (2025)
by: Qi, Runnan, et al.
Published: (2025)
NeuroState-Bench: A Human-Calibrated Benchmark for Commitment Integrity in LLM Agent Profiles
by: Jia, Xiao
Published: (2026)
by: Jia, Xiao
Published: (2026)
Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
by: Pepe, Alberto, et al.
Published: (2026)
by: Pepe, Alberto, et al.
Published: (2026)
LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain
by: Weigang, Li, et al.
Published: (2025)
by: Weigang, Li, et al.
Published: (2025)
AdaptOrch: Task-Adaptive Multi-Agent Orchestration in the Era of LLM Performance Convergence
by: Yu, Geunbin
Published: (2026)
by: Yu, Geunbin
Published: (2026)
Agentic UAVs: LLM-Driven Autonomy with Integrated Tool-Calling and Cognitive Reasoning
by: Koubaa, Anis, et al.
Published: (2025)
by: Koubaa, Anis, et al.
Published: (2025)
On the Fundamental Limitations of Decentralized Learnable Reward Shaping in Cooperative Multi-Agent Reinforcement Learning
by: Akella, Aditya
Published: (2025)
by: Akella, Aditya
Published: (2025)
Portable Agent Memory: A Protocol for Cryptographically-Verified Memory Transfer Across Heterogeneous AI Agents
by: Ravindran, Santhosh Kumar
Published: (2026)
by: Ravindran, Santhosh Kumar
Published: (2026)
Dynamic Dual-Granularity Skill Bank for Agentic RL
by: Tu, Songjun, et al.
Published: (2026)
by: Tu, Songjun, et al.
Published: (2026)
STRIDE: A Self-Reflective Agent Framework for Reliable Automatic Equation Discovery
by: Su, Jiarui, et al.
Published: (2026)
by: Su, Jiarui, et al.
Published: (2026)
Communicating Plans, Not Percepts: Scalable Multi-Agent Coordination with Embodied World Models
by: Hill, Brennen A., et al.
Published: (2025)
by: Hill, Brennen A., et al.
Published: (2025)
Territory Paint Wars: Diagnosing and Mitigating Failure Modes in Competitive Multi-Agent PPO
by: Singh, Diyansha
Published: (2026)
by: Singh, Diyansha
Published: (2026)
Semantic-Constrained Federated Aggregation: Convergence Theory and Privacy-Utility Bounds for Knowledge-Enhanced Distributed Learning
by: Arafat, Jahidul
Published: (2025)
by: Arafat, Jahidul
Published: (2025)
MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures
by: Zamaraeva, Elena, et al.
Published: (2025)
by: Zamaraeva, Elena, et al.
Published: (2025)
Your Data, My Model: Learning Who Really Helps in Federated Learning
by: Abdurakhmanova, Shamsiiat, et al.
Published: (2024)
by: Abdurakhmanova, Shamsiiat, et al.
Published: (2024)
N-Agent Ad Hoc Teamwork
by: Wang, Caroline, et al.
Published: (2024)
by: Wang, Caroline, et al.
Published: (2024)
When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
by: Chowdhury, Arindam, et al.
Published: (2025)
by: Chowdhury, Arindam, et al.
Published: (2025)
RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement
by: Lin, Junjie, et al.
Published: (2024)
by: Lin, Junjie, et al.
Published: (2024)
Dynamical Priors as a Training Objective in Reinforcement Learning
by: Subaharan, Sukesh
Published: (2026)
by: Subaharan, Sukesh
Published: (2026)
Generative World Models of Tasks: LLM-Driven Hierarchical Scaffolding for Embodied Agents
by: Hill, Brennen
Published: (2025)
by: Hill, Brennen
Published: (2025)
Manipulating Transformer-Based Models: Controllability, Steerability, and Robust Interventions
by: Alpay, Faruk, et al.
Published: (2025)
by: Alpay, Faruk, et al.
Published: (2025)
Generative AI and the Transformation of Software Development Practices
by: Acharya, Vivek
Published: (2025)
by: Acharya, Vivek
Published: (2025)
Mimosa Framework: Toward Evolving Multi-Agent Systems for Scientific Research
by: Legrand, Martin, et al.
Published: (2026)
by: Legrand, Martin, et al.
Published: (2026)
Emergent Coordination in Multi-Agent Systems via Pressure Fields and Temporal Decay
by: Rodriguez, Roland
Published: (2026)
by: Rodriguez, Roland
Published: (2026)
PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments
by: Schipper, Olivier, et al.
Published: (2025)
by: Schipper, Olivier, et al.
Published: (2025)
Client-Conditional Federated Learning via Local Training Data Statistics
by: Brännvall, Rickard
Published: (2026)
by: Brännvall, Rickard
Published: (2026)
The Six Sigma Agent: Achieving Enterprise-Grade Reliability in LLM Systems Through Consensus-Driven Decomposed Execution
by: Patel, Khush, et al.
Published: (2026)
by: Patel, Khush, et al.
Published: (2026)
FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA
by: Zhang, Haoran, et al.
Published: (2026)
by: Zhang, Haoran, et al.
Published: (2026)
An Improved Adaptive PID Optimizer with Enhanced Convergence and Stability for Deep Learning
by: Saini, Saurabh, et al.
Published: (2026)
by: Saini, Saurabh, et al.
Published: (2026)
WorkflowGen:an adaptive workflow generation mechanism driven by trajectory experience
by: Wei, Ruocan, et al.
Published: (2026)
by: Wei, Ruocan, et al.
Published: (2026)
Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork
by: Jing, Yuheng, et al.
Published: (2026)
by: Jing, Yuheng, et al.
Published: (2026)
Procedural Game Level Design with Deep Reinforcement Learning
by: Özkan, Miraç Buğra
Published: (2025)
by: Özkan, Miraç Buğra
Published: (2025)
TRIZ Agents: A Multi-Agent LLM Approach for TRIZ-Based Innovation
by: Szczepanik, Kamil, et al.
Published: (2025)
by: Szczepanik, Kamil, et al.
Published: (2025)
Autonomous AI Agents for Real-Time Affordable Housing Site Selection: Multi-Objective Reinforcement Learning Under Regulatory Constraints
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)
SIA: Self Improving AI with Harness & Weight Updates
by: Hebbar, Prannay, et al.
Published: (2026)
by: Hebbar, Prannay, et al.
Published: (2026)
PilotBench: A Benchmark for General Aviation Agents with Safety Constraints
by: Wu, Yalun, et al.
Published: (2026)
by: Wu, Yalun, et al.
Published: (2026)
Coopetition-Gym v1: A Formally Grounded Platform for Mixed-Motive Multi-Agent Reinforcement Learning under Strategic Coopetition
by: Pant, Vik, et al.
Published: (2026)
by: Pant, Vik, et al.
Published: (2026)
Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents
by: Tiwari, Dhruv
Published: (2025)
by: Tiwari, Dhruv
Published: (2025)
Collaborative LLM Agents for C4 Software Architecture Design Automation
by: Szczepanik, Kamil, et al.
Published: (2025)
by: Szczepanik, Kamil, et al.
Published: (2025)
Similar Items
-
AI Agents: Evolution, Architecture, and Real-World Applications
by: Krishnan, Naveen
Published: (2025) -
Memory-Augmented State Machine Prompting: A Novel LLM Agent Framework for Real-Time Strategy Games
by: Qi, Runnan, et al.
Published: (2025) -
NeuroState-Bench: A Human-Calibrated Benchmark for Commitment Integrity in LLM Agent Profiles
by: Jia, Xiao
Published: (2026) -
Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
by: Pepe, Alberto, et al.
Published: (2026) -
LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain
by: Weigang, Li, et al.
Published: (2025)