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:
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆60Updated 4 years ago
- End-to-End Differentiable Proving☆90Updated 6 years ago
- Framework of DataLog Neural Program Synthesis☆26Updated 6 years ago
- Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)☆77Updated 5 years ago
- Graph-based Deep Q Network for Web Navigation☆47Updated 6 years ago
- Implementation for the Neural Logic Machines (NLM).☆292Updated 6 years ago
- ☆84Updated 6 years ago
- Grounded SCAN data set.☆70Updated 3 years ago
- Symbolic Reinforcement Learning using Inductive Logic Programming☆62Updated 2 years ago
- Knowledge-Aware RL agents with Commonsense Reasoning☆78Updated 3 years ago
- ☆81Updated 4 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated 2 years ago
- Simple language-driven navigation tasks for studying compositional learning☆199Updated 5 years ago
- This repository contains an entailment dataset for propositional logic, and code for generating that dataset. It also contains code for p…☆70Updated 7 years ago
- Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…☆17Updated 4 years ago
- Conditional Theorem Proving☆53Updated 4 years ago
- ☆58Updated 5 years ago
- ☆49Updated 4 years ago
- Learning with latent language☆51Updated 4 years ago
- Neural Programmer-Interpreter Implementation (Reed, de Freitas: https://arxiv.org/abs/1511.06279), in Tensorflow☆42Updated 7 years ago
- Goal driven language generation using knowledge graph A2C agents☆60Updated 5 years ago
- Annotated bibliographies.☆40Updated 6 years ago
- Semantic Loss code☆62Updated 6 years ago
- Pytorch implementation of the paper 'Compositional language emerge in a neural iterated learning' (ICLR 2020).☆15Updated 4 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Neural Logic Inductive Learning☆44Updated 3 years ago
- A Pytorch implementation of "Measuring abstract reasoning in neural networks" in ICML 2018 by DeepMind☆37Updated 2 years ago
- Reproducing the reinforcement learning models used in "Emergence of Linguistic Communication from Referential Games with Symbolic and Pix…☆12Updated 7 years ago
- A framework for experimenting with never-ending learning☆80Updated last year