2 papers
cs.LG2026
From Trajectories to Instructions: Language-Conditioned Meta-Reinforcement Learning
Garvit Singla, Uma Maheswari Natarajan, Raghuram Bharadwaj Diddigi
Model-Agnostic Meta-Learning (MAML) is a widely used framework for reinforcement learning (RL) that enables efficient transfer by learning global policy parameters that can be rapi…
cs.NI2025
A Novel Integrated Architecture for Intent Based Approach and Zero Touch Networks
Neelam Gupta, Dibakar Das, Tamizhelakkiya K +5
The transition to Sixth Generation (6G) networks presents challenges in managing quality of service (QoS) of diverse applications and achieving Service Level Agreements (SLAs) unde…