qxtian / Learning-Independent-SKillsView external linksLinks
Task dependent skill transformation is challenging due to the ignorance of the relationships between primitive skills. In this project, we propose a skill decomposition algorithm to learn independent skills, which are more suitable than primitive skills for task dependent skill transformation.
☆14Jun 4, 2020Updated 5 years ago
Alternatives and similar repositories for Learning-Independent-SKills
Users that are interested in Learning-Independent-SKills are comparing it to the libraries listed below
Sorting:
- BED: A Real-Time Object Detection System for Edge Devices☆59Nov 30, 2022Updated 3 years ago
- ☆16Feb 7, 2023Updated 3 years ago
- ☆50Mar 24, 2023Updated 2 years ago
- Automated Machine Learning (AutoML) for Kaggle Competition☆32Jul 6, 2023Updated 2 years ago
- HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units (KDD 2020)☆12Jan 25, 2021Updated 5 years ago
- Learning algorithm described in "A New PAC-Bayesian Perspective on Domain Adaptation" (see http://arxiv.org/abs/1506.04573)☆11Oct 30, 2018Updated 7 years ago
- Mobility Load Management in Cellular Networks☆10Jul 14, 2023Updated 2 years ago
- ☆12Mar 21, 2024Updated last year
- Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"☆13Nov 1, 2020Updated 5 years ago
- Python code : Clustering by fast search and find of density peaks☆10Oct 13, 2017Updated 8 years ago
- Codebase for the paper: "CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning"☆15May 30, 2024Updated last year
- [MLSys 2023] Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models☆16May 5, 2023Updated 2 years ago
- ☆15Jan 13, 2020Updated 6 years ago
- Cloud client for douzero training☆11Dec 26, 2021Updated 4 years ago
- Pytorch implementation of [Feudal Net](https://arxiv.org/abs/1703.01161). ([Tensorflow version](https://github.com/dmakian/feudal_networ…☆17Jun 25, 2019Updated 6 years ago
- Optimizing the Pairs-Trading Strategy using Deep Reinforcement Learning with Trading and Stop-loss Boundaries☆13Dec 12, 2021Updated 4 years ago
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximization☆14Jul 8, 2022Updated 3 years ago
- I have targeted to solve the benchmark problem in Reinforcement learning literature using Deep Q-networks with images as the only input t…☆12Dec 2, 2019Updated 6 years ago
- ☆16Jun 14, 2023Updated 2 years ago
- Using Resnet architecture in the contextual bandit framework for financial asset trading☆16Nov 22, 2024Updated last year
- TensorFlow implementation of "A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Le…☆16Jul 2, 2022Updated 3 years ago
- Some other AutoML algorithms as baselines.☆12Apr 2, 2019Updated 6 years ago
- ☆20Nov 14, 2025Updated 3 months ago
- The Comyco's Video Description Dataset☆13Oct 10, 2024Updated last year
- We used deep learning models on SparkML to create a hybrid recommender system that leverages both content and collaborative data.☆14Mar 11, 2020Updated 5 years ago
- Pensieve for 5G datasets.☆15Aug 26, 2021Updated 4 years ago
- Code for the paper "Importance Weighted Transfer of Samples in Reinforcement Learning" (ICML 2018).☆16May 29, 2018Updated 7 years ago
- Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021☆16Feb 8, 2023Updated 3 years ago
- A post-processing method to create fair rankings wrt ranked group fairness☆15Jun 5, 2019Updated 6 years ago
- Codebase for "Causal Induction from Visual Observations for Goal-Directed Tasks"☆14Feb 25, 2020Updated 5 years ago
- Source code for paper: Efficient deep reinforcement learning via adaptive policy transfer☆15Aug 15, 2022Updated 3 years ago
- ☆15Jul 21, 2021Updated 4 years ago
- Code for 'Mapping State Space using Landmarks for Universal Goal Reaching'.☆16Dec 26, 2023Updated 2 years ago
- This project provides the source code of the paper "Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (IEEE TKDE 2020)".☆17Jun 30, 2020Updated 5 years ago
- ☆20Oct 4, 2024Updated last year
- Collection of reinforcement learning algorithms☆16Sep 29, 2025Updated 4 months ago
- Matlab Implementation of Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning☆17Mar 14, 2017Updated 8 years ago
- Network aware load balancing for edge/cloud computing using deep reinforcement learning☆20Jun 17, 2021Updated 4 years ago
- Code for demonstration example-task in RUDDER blog☆24May 19, 2020Updated 5 years ago