Source code to the AAAI21 publication Augmenting Policy Learning with Routines Discovered from a Single Demonstration
☆17Jan 7, 2021Updated 5 years ago
Alternatives and similar repositories for AAAI21-RoutineAugmentedPolicyLearning
Users that are interested in AAAI21-RoutineAugmentedPolicyLearning are comparing it to the libraries listed below
Sorting:
- OpenGL program for viewing volumetric 3d image data from CT, MRI scanners and the like. I will try to experiment with many different cutt…☆18Apr 16, 2018Updated 7 years ago
- ☆10May 24, 2021Updated 4 years ago
- The official code of paper "OMS-DPM: Optimizing Model Schedule for Diffusion Probabilistic Model" accepted by ICML 2023☆24Oct 11, 2023Updated 2 years ago
- Contains an implementation of "Imitation Learning via Kernel Mean Embedding (2018, AAAI)"☆11Oct 2, 2018Updated 7 years ago
- Benchmark Suite for Interpretable Rule Learning☆12Aug 23, 2020Updated 5 years ago
- Qualitative Numeric Planning☆10Dec 10, 2020Updated 5 years ago
- Faithful Python implementation of the paper "Towards Deep Symbolic Reinforcement Learning" by Garnelo et al.☆13Mar 23, 2021Updated 4 years ago
- PyTorch implementation of Sample Efficient Actor-Critic with Experience Replay(ACER)☆16Oct 7, 2020Updated 5 years ago
- ☆11Mar 23, 2022Updated 3 years ago
- ☆13Aug 20, 2021Updated 4 years ago
- reveal-md is great project. Improve your presentation even more with custom user scripts. Here is the place to find them.☆15Dec 7, 2023Updated 2 years ago
- Environment codebase for ICRA 2020 paper "Towards Practical Multi-object Manipulation using Relational Reinforcement Learning"☆13Jul 22, 2020Updated 5 years ago
- Probabilistic logic language for inference, planning and learning in static and dynamic domains☆15Feb 27, 2017Updated 9 years ago
- A random kitten generator.☆10Oct 24, 2021Updated 4 years ago
- automated planning toolbox☆15Jun 5, 2017Updated 8 years ago
- ☆15Feb 25, 2020Updated 6 years ago
- WORK IN PROGRESS☆11Feb 28, 2018Updated 8 years ago
- Wasserstein Distance guided Adversarial Imitation Learning (WDAIL) with Reward Shape Exploration☆18Feb 9, 2021Updated 5 years ago
- ☆26Jun 13, 2023Updated 2 years ago
- Official implementation for our ECCV 2022 paper "DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation"☆36Jan 3, 2023Updated 3 years ago
- ☆15Mar 15, 2024Updated 2 years ago
- Planning through backpropagation using TensorFlow.☆16Oct 29, 2020Updated 5 years ago
- A lightweight framework for the efficient parsing and manipulation of PDDL in lifted form.☆19Dec 17, 2025Updated 3 months ago
- ☆18Feb 22, 2023Updated 3 years ago
- ☆18Jul 8, 2021Updated 4 years ago
- The official code for our ECCV22 oral paper: tracking objects as pixel-wise distributions.