guicho271828 / latplan
LatPlan : A domain-independent, image-based classical planner
☆85Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for latplan
- Few-shot Bayesian Imitation Learning with Policies as Logic over Programs☆18Updated 2 years ago
- LAPKT public repository☆40Updated 3 months ago
- Faithful Python implementation of the paper "Towards Deep Symbolic Reinforcement Learning" by Garnelo et al.☆13Updated 3 years ago
- Symbolic Reinforcement Learning using Inductive Logic Programming☆61Updated last year
- PDDL planner interface for PDDLGym.☆27Updated 9 months ago
- Reinforcement Learning for Classical Planning☆11Updated 2 years ago
- A lightweight STRIPS planner written in Python.☆96Updated last month
- Modifiable OpenAI Gym environments for studying generalization in RL☆86Updated 5 years ago
- Logic Reinforcement Learning☆15Updated 4 months ago
- ☆45Updated last year
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆44Updated last year
- A Library of MDP algorithms for Artificial Intelligence☆18Updated 5 years ago
- Modular multitask reinforcement learning with policy sketches☆105Updated 3 years ago
- ☆54Updated 3 years ago
- Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Jo…☆49Updated 3 years ago
- ☆42Updated 7 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆78Updated last year
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Automatically exported from code.google.com/p/rddlsim☆51Updated 8 months ago
- [IROS2020] Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas☆11Updated last year
- ☆113Updated 5 years ago
- PDDL+ planning through compilation to SMT☆44Updated last year
- Code release for Learning with Opponent-Learning Awareness and variations.☆144Updated last year
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆58Updated 3 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆52Updated 7 years ago
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆26Updated 3 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆123Updated 5 years ago
- intrinsic motivation in grid worlds☆25Updated 4 years ago