Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
RISED: RubrIcs for agentic multi-environment Selection and sElf-Distillation
Jingtan Wang, Sirajul Salekin, Young mok Jung +3
Training a single LLM agent jointly across diverse interactive environments has attracted increasing attention as a route to generalist agents. Existing curriculum and data-selecti…
cs.AI2026
SCLATE: a Substrate for Continual-Learning Agent Training and Evaluation
Youngmok Jung, Sirajul Salekin, Henry Tran +3
Continual-learning agents are systems of models, harnesses, and memory operating over long multi-session horizons. Evaluating and training them requires interleaving tasks with age…