921kiyo / symbolic-rlLinks
Symbolic Reinforcement Learning using Inductive Logic Programming
☆62Updated 2 years ago
Alternatives and similar repositories for symbolic-rl
Users that are interested in symbolic-rl are comparing it to the libraries listed below
Sorting:
- Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Jo…☆52Updated 4 years ago
- Top-down induction of first-order logical decision trees: master AI thesis implementation☆25Updated 4 years ago
- ☆37Updated 6 months ago
- Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.☆25Updated 2 years ago
- Experimentation framework for Popper☆22Updated last year
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆60Updated 4 years ago
- Faithful Python implementation of the paper "Towards Deep Symbolic Reinforcement Learning" by Garnelo et al.☆13Updated 4 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆72Updated 2 years ago
- A framework for experimenting with never-ending learning☆79Updated 7 months ago
- A toolbox for logical and probabilistic reasoning, StarAI, ILP and Program synthesis☆23Updated 4 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
- Python package for Sentential Decision Diagrams (SDD)☆62Updated 3 months ago
- ☆79Updated 4 years ago
- Manipulate NNF (Negation Normal Form) logical sentences☆17Updated 2 years ago
- Tarski - An AI Planning Modeling Framework☆67Updated last year
- Neurosymbolic transformers for multi-agent communication.☆22Updated 4 years ago
- HOUDINI: Lifelong Learning as Program Synthesis☆48Updated 2 months ago
- LatPlan : A domain-independent, image-based classical planner☆85Updated 2 years ago
- ☆15Updated 6 years ago
- Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks☆50Updated 2 years ago
- Few-shot Bayesian Imitation Learning with Policies as Logic over Programs☆19Updated 3 months ago
- Probabilistic logic language for inference, planning and learning in static and dynamic domains☆15Updated 8 years ago
- ☆19Updated 3 months ago
- Port of Aleph to SWI-Prolog☆48Updated last year
- End-to-End Differentiable Proving☆89Updated 6 years ago
- Probabilistic Answer Set Programming and Probabilistic SAT solving, based on Differentiable Satisfiability☆64Updated 11 months ago
- Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)☆76Updated 5 years ago
- ☆45Updated last year
- Code that translates grammar into PDDL, runs a planner to produce multiple plans, translates plans into trainable lale pipelines and trai…☆18Updated 3 weeks ago
- Deep relational learning through differentiable logic programming.☆105Updated 10 months ago