102 citations · 212 across the 29 of their papers we have counts for
5 papers · 1 filter
Budgeted KV-Cache Repair for Evolving Contexts
Han Yu, Wenhui Zhu, Jincheng Cao +15
Language-model agents revise their working context as information becomes obsolete, but deleting text does not erase its influence on cached computation. Later key-value (KV) state…
Hierarchical Reinforcement Learning with Stable Temporal Abstraction for Language Model Agents
Shayan Mohajer Hamidi, Yize Cheng, Yuanda Xu +2
Hierarchical reinforcement learning improves long-horizon control by organizing primitive actions around persistent subgoals and assigning credit at multiple temporal scales. Recen…
Planner-R1: Reward Shaping Enables Efficient Agentic RL with Smaller LLMs
Siyu Zhu, Yanbin Jiang, Hejian Sang +6
We investigated Agentic RL with large language models on the \textsc{TravelPlanner} benchmark. Our approach, \textsc{Planner-R1}, achieved a \textbf{56.9\%} final-pass rate with on…
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue
Hung Le, Chinnadhurai Sankar, Seungwhan Moon +3
A video-grounded dialogue system is required to understand both dialogue, which contains semantic dependencies from turn to turn, and video, which contains visual cues of spatial a…
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
Richard S. Sutton, Csaba Szepesvari, Alborz Geramifard +1
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available after…