ai-systems / DILP-CoreLinks
Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Journal of Artificial Intelligence Research 61 (2018): 1-64.
☆52Updated 4 years ago
Alternatives and similar repositories for DILP-Core
Users that are interested in DILP-Core are comparing it to the libraries listed below
Sorting:
- Symbolic Reinforcement Learning using Inductive Logic Programming☆62Updated 2 years ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆60Updated 4 years ago
- Framework of DataLog Neural Program Synthesis☆26Updated 6 years ago
- End-to-End Differentiable Proving☆89Updated 6 years ago
- Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)☆76Updated 5 years ago
- ☆84Updated 5 years ago
- Conditional Theorem Proving☆53Updated 4 years ago
- ☆79Updated 4 years ago
- Neuro-Symbolic Hierarchical Rule Induction☆14Updated 2 years ago
- Learning with latent language☆51Updated 4 years ago
- Grounded SCAN data set.☆69Updated 3 years ago
- PyTorch implementation for The Scattering Compositional Learner (SCL)☆32Updated 4 years ago
- Reproducing the reinforcement learning models used in "Emergence of Linguistic Communication from Referential Games with Symbolic and Pix…☆12Updated 6 years ago
- Graph-based Deep Q Network for Web Navigation☆47Updated 5 years ago
- ☆58Updated 5 years ago
- Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games☆46Updated 3 weeks ago
- Semantic Loss code☆59Updated 6 years ago
- Neural Logic Inductive Learning☆44Updated 2 years ago
- A Pytorch implementation of "Measuring abstract reasoning in neural networks" in ICML 2018 by DeepMind☆38Updated last year
- ☆45Updated last year
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆72Updated 2 years ago
- Annotated bibliographies.☆40Updated 5 years ago
- Coin collector game in Microsoft TextWorld, and a simple RL agent solving it.☆36Updated 3 years ago
- Experiment code for the ICLR 2020 paper "RTFM: Generalising to New Environment Dynamics via Reading".☆38Updated 3 years ago
- Knowledge-Aware RL agents with Commonsense Reasoning☆78Updated 3 years ago
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆27Updated 3 years ago
- ☆10Updated 5 years ago
- Diagnostic benchmark suite to explicitly test logical relational reasoning on natural language☆94Updated last year
- Neural-Grammar-Symbolic Learning with Back-Search☆54Updated 10 months ago
- Measuring compositionality in representation learning☆73Updated 6 years ago