partial-observability

Online Replanning in Belief Space for Partially Observable Task and Motion Problems

SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations

Solving pursuit-evasion problems on graphs using Reinfocement Learning and GNNs

Official PyTorch implementation of POEM (Partial Observation Experts Modelling) as introduced in the paper Contrastive Meta-Learning for Partially Observable Few-Shot Learning

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Partially Observable Monte Carlo Planning algorithm (POMCP)

Comparing a full-map A* oracle with partially observable knowledge-based and genetic-policy agents in Wumpus World.

Hybrid planning agent for decision-making under partial observability (PG-WMA)

Decentralized traffic signal control under camera-limited observability (IEEE Access submission)

End-to-end empirical implementation of model-based off-policy evaluation and pessimistic policy selection for confounded POMDPs (Hong, Qi & Xu, ICML 2024)

Defender-side cyber incident simulator. An abstract state machine, not real infrastructure, and reinforcement-learning policies, not LLM agents. Host status is hidden behind noisy alerts, the attacker improvises, and a web console lets you play the same scenario by hand and compare your score to a trained agent's.

Minimal control-theoretic toy models for studying stability and failure modes under partial observability.

Priced information-gathering and abstention evaluation in a synthetic partially observed city.

Code and records for "Observational Aliasing Bounds Generalization in Constrained Active-Sensing MARL" (ICET 2026).

Controlled evaluation of persistent object memory for partially observable embodied agents in AI2-THOR.

Operator-geometric framework for metabolic identifiability and metabolite panel design under partial observability using Human-GEM, proteomics-informed reaction weighting, and spectral geometry.

Autonomous crewmate AI in a partially observable social-deduction simulator with strict information boundaries, belief modeling, and strategic RL.

Bachelor's thesis: reproducible multi-seed MiniGrid benchmark of PPO, A2C, DQN and RecurrentPPO under partial observability — memory, intrinsic motivation (RND, ICM, RIDE, NovelD) and curriculum learning.

Python library for studying elimination-based learning in deterministic MDPs under state aliasing