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.
☆53Updated 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:
- Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)☆77Updated 6 years ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆60Updated 5 years ago
- End-to-End Differentiable Proving☆90Updated 7 years ago
- Framework of DataLog Neural Program Synthesis☆26Updated 6 years ago
- Implementation for the Neural Logic Machines (NLM).☆293Updated 6 years ago
- Graph-based Deep Q Network for Web Navigation☆47Updated 6 years ago
- Symbolic Reinforcement Learning using Inductive Logic Programming☆62Updated 2 years ago
- Knowledge-Aware RL agents with Commonsense Reasoning☆79Updated 3 years ago
- ☆84Updated 6 years ago
- Annotated bibliographies.☆40Updated 6 years ago
- Coin collector game in Microsoft TextWorld, and a simple RL agent solving it.☆37Updated 4 years ago
- Neural Logic Inductive Learning☆44Updated 3 years ago
- Grounded SCAN data set.☆70Updated 4 years ago
- Conditional Theorem Proving☆54Updated 4 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆80Updated 2 years ago
- Neural Programmer-Interpreter Implementation (Reed, de Freitas: https://arxiv.org/abs/1511.06279), in Tensorflow☆42Updated 7 years ago
- Simple language-driven navigation tasks for studying compositional learning☆204Updated 5 years ago
- Learning with latent language☆51Updated 4 years ago
- Measuring compositionality in representation learning☆73Updated 6 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
- Semantic Loss code☆62Updated 6 years ago
- ☆82Updated 4 years ago
- Neuro-Symbolic Hierarchical Rule Induction☆14Updated 3 years ago
- ☆63Updated 2 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- Automatically Composing Representation Transformations as a Means for Generalization☆24Updated 6 years ago
- Experiment code for the ICLR 2020 paper "RTFM: Generalising to New Environment Dynamics via Reading".☆39Updated 4 years ago
- Code repository for On the interaction between supervision and self-play in emergent communication (ICLR 2020)☆15Updated 6 years ago
- On the pitfalls of measuring emergent communication☆34Updated 6 years ago
- A framework for experimenting with never-ending learning☆81Updated last year