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"

Various projects related to contingent planning under partial observability