martius-lab Goto Github PK
Name: Autonomous Learning Group
Type: Organization
Location: Tuebingen, Germany
Name: Autonomous Learning Group
Type: Organization
Location: Tuebingen, Germany
Code for the submission of the team AL4Muscles to the MyoChallenge 2022
Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers, ICLR 2021
beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022
Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"
Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
Code for the paper: Causal Action Influence Aware Counterfactual Data Augmentation @ICML2024
Repository for our paper: Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions. (ICRA 2023)
Repository for the paper: "Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation" @ NeurIPS 2022
Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Martius, G., NeurIPS 2021
Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
Repository for our ICLR 2023 paper: DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
Differentiation through cone programs
Code for our ICRA 2024 paper on learning diverse skills
Benchmark tasks proposed in "Hierarchical reinforcement learning with Timed Subgoals" by Guertler, Buechler and Martius
Equation Learner, a neural network approach to symbolic regression
Equation learning method -- pytorch implementation
Tensorflow implementation of equation learner
Code for our NeurIPS 2021 paper: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains
Code for the paper: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains
Repository for our NeurIPS 2023 paper on Goal-conditioned Offline Planning from Curious Exploration
Learning with 3D rotations, a hitchhiker’s guide to SO(3) - ICML 2024
Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021
improved Cross Entropy Method for trajectory optimization
Code for processing data from the "Insight" haptic sensor
A TensorFlow implementation of L0 regularization (Louizos et al 2017)
Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
L4: Practical loss-based stepsize adaptation for PyTorch
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🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.