#partial observability
6 papers match
Minimal Markovization via Stable Quotients in Holonomy-Cover Decision Processes
Zuyuan Zhang, Yongshan Chen, Mahdi Imani +1
The paper defines the smallest memory representation needed for a class of partially observable decision processes called holonomy-cover decision processes, builds a stable quotien…
DNQ: Deep Nash Q-Network for Partially Observable n-Player Games
Qintong Xie, Edward Koh, Xavier Cadet +1
The paper introduces DNQ, a deep reinforcement learning framework that trains bidding agents for partially observable n‑player games by alternating between trajectory collection, c…
NetForge RL: A Multi-Agent Simulation Environment for Cyber Defense with Durative Actions
Igor Jankowski
The paper introduces NetForge RL, a fast multi‑agent reinforcement‑learning environment that simulates cyber‑defense scenarios on procedurally generated enterprise and OT networks,…
Deformable State Estimation for Autonomous Surgical Tissue Retraction Under Partial Observability
Everest Yang, Skye Thompson, George D. Konidaris
The paper presents a learned estimator that reconstructs the full shape of a deformable tissue mesh from a small set of noisy surface points, enabling more accurate planning for su…
Multi-Agent LLMs Fail to Explore Each Other
Hyeong Kyu Choi, Jiatong Li, Wendi Li +2
The paper shows that large language model agents struggle to explore each other in multi-agent settings, leading to poor coordination, and introduces the MACE framework that uses s…
LQG solution for POMDP without estimating states: A minimum variance approach
Ranjan Sarkar, Prabhat K. Mishra
The paper proposes a method to design a Linear Quadratic Gaussian controller for discrete-time linear systems with noisy and incomplete measurements that avoids explicit state esti…