:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Dey, Kaushik, Perepu, Satheesh K., Das, Abir, Dasgupta, Pallab
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2405.07621
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning
by: Hazra, Somnath, et al.
Published: (2025)

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics
by: Hazra, Somnath, et al.
Published: (2025)

EdgeAgentX-DT: Integrating Digital Twins and Generative AI for Resilient Edge Intelligence in Tactical Networks
by: Ray, Abir
Published: (2025)

EdgeAgentX: A Novel Framework for Agentic AI at the Edge in Military Communication Networks
by: Ray, Abir
Published: (2025)

Know your Trajectory -- Trustworthy Reinforcement Learning deployment through Importance-Based Trajectory Analysis
by: F, Clifford, et al.
Published: (2025)

SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
by: Ding, Mucong, et al.
Published: (2024)

Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
by: Dasgupta, Nayana, et al.
Published: (2023)

Mapping Patient Trajectories: Understanding and Visualizing Sepsis Prognostic Pathways from Patients Clinical Narratives
by: Jana, Sudeshna, et al.
Published: (2024)

TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework
by: Ouyang, Jinhui, et al.
Published: (2024)

2D-ThermAl: Physics-Informed Framework for Thermal Analysis of Circuits using Generative AI
by: Chandra, Soumyadeep, et al.
Published: (2025)

MANGO: Meta-Adaptive Network Gradient Optimization for Online Continual Learning
by: Awasthi, Ankita, et al.
Published: (2026)

Graph Edit Distance with General Costs Using Neural Set Divergence
by: Jain, Eeshaan, et al.
Published: (2024)

Multi-Objective Multi-Fidelity Bayesian Optimization with Causal Priors
by: Hossen, Md Abir, et al.
Published: (2026)

Towards General Computer Control with Hierarchical Agents and Multi-Level Action Spaces
by: Dong, Zihan, et al.
Published: (2025)

Multi-Agent LLMs for Adaptive Acquisition in Bayesian Optimization
by: Carbonati, Andrea, et al.
Published: (2026)

$Agent^2$: An Agent-Generates-Agent Framework for Reinforcement Learning Automation
by: Wei, Yuan, et al.
Published: (2025)

Toward efficient resource utilization at edge nodes in federated learning
by: Alawadi, Sadi, et al.
Published: (2023)

Towards Principled Unsupervised Multi-Agent Reinforcement Learning
by: Zamboni, Riccardo, et al.
Published: (2025)

Toward Autonomous Engineering Design: A Knowledge-Guided Multi-Agent Framework
by: Kumar, Varun, et al.
Published: (2025)

Redefining Robot Generalization Through Interactive Intelligence
by: Dey, Sharmita
Published: (2025)

Monotone and Separable Set Functions: Characterizations and Neural Models
by: Sarangi, Soutrik, et al.
Published: (2025)

Adaptive Multi-Agent Deep Reinforcement Learning for Timely Healthcare Interventions
by: Shaik, Thanveer, et al.
Published: (2023)

'Si'multaneous 'S'patial-'T'emporal Message Passing for Dynamic Graph Representation Learning
by: Roy, Shubhajit, et al.
Published: (2026)

Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMs
by: Sheshanarayana, Disha, et al.
Published: (2026)

A Unified Multi-Agent Framework for Universal Multimodal Understanding and Generation
by: Li, Jiulin, et al.
Published: (2025)

Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework
by: Wang, Dong, et al.
Published: (2025)

Multi-Agent Reinforcement Learning for Safe Autonomous Driving Under Pedestrian Behavioral Uncertainty
by: Aryan, Prakash, et al.
Published: (2026)

ProteoKnight: Convolution-based phage virion protein classification and uncertainty analysis
by: Neha, Samiha Afaf, et al.
Published: (2025)

AKG kernel Agent: A Multi-Agent Framework for Cross-Platform Kernel Synthesis
by: Du, Jinye, et al.
Published: (2025)

Explainability in Generative Medical Diffusion Models: A Faithfulness-Based Analysis on MRI Synthesis
by: Dey, Surjo, et al.
Published: (2026)

Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
by: Su, Hongjin, et al.
Published: (2025)

HADL Framework for Noise Resilient Long-Term Time Series Forecasting
by: Dey, Aditya, et al.
Published: (2025)

Decisions and Deployment: The Five-Year SAHELI Project (2020-2025) on Restless Multi-Armed Bandits for Improving Maternal and Child Health
by: Verma, Shresth, et al.
Published: (2026)

MASteer: Multi-Agent Adaptive Steer Strategy for End-to-End LLM Trustworthiness Repair
by: Li, Changqing, et al.
Published: (2025)

Reliable Self-Harm Risk Screening via Adaptive Multi-Agent LLM Systems
by: Karnam, Meghana, et al.
Published: (2026)

MALT: Improving Reasoning with Multi-Agent LLM Training
by: Motwani, Sumeet Ramesh, et al.
Published: (2024)

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
by: Tang, Shuo, et al.
Published: (2024)

HyperMARL: Adaptive Hypernetworks for Multi-Agent RL
by: Tessera, Kale-ab Abebe, et al.
Published: (2024)

SMAT: Staged Multi-Agent Training for Co-Adaptive Exoskeleton Control
by: Yuan, Yifei, et al.
Published: (2026)

A Discordance-Aware Multimodal Framework with Multi-Agent Clinical Reasoning
by: Ahadian, Pegah, et al.
Published: (2026)