| Year | Title | Author | Publication | Code | Tasks | Notes | Datasets | Notions |
|---|---|---|---|---|---|---|---|---|
| 2022 | Branching Time Active Inference: The theory and its generality | Champion et al. | Neural Networks | - | Active Inference |
dSprites dataset | Active inference is a state-of-the-art framework for modelling the brain that explains a wide range of mechanisms such as habit formation, dopaminergic discharge and curiosity. | |
| 2022 | Active learning of causal structures with deep reinforcement learning | Amirinezhad et al. | Neural Networks | - | recovering causal relations |
Shannon’s entropy metric, GNN, reinforcement learning,Tra, Hard |
Synthetic Graph Generation |