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cs.AI2025
GammaZero: Learning To Guide POMDP Belief Space Search With Graph Representations
Rajesh Mangannavar, Prasad Tadepalli
We introduce an uncertainty-aware graph representation framework for learning to guide planning in Partially Observable Markov Decision Processes (POMDPs). Unlike existing approach…
cs.LG2025
Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios
Mohammad Rafid Ul Islam, Prasad Tadepalli, Alan Fern
Missing values in multivariate time series data can harm machine learning performance and introduce bias. These gaps arise from sensor malfunctions, blackouts, and human error and…
cs.MA2025
Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains
Nikhilesh Prabhakar, Ranveer Singh, Harsha Kokel +2
Multiagent Reinforcement Learning (MARL) poses significant challenges due to the exponential growth of state and action spaces and the non-stationary nature of multiagent environme…