martius-lab Goto Github PK

al4myochallenge

Code for the submission of the team AL4Muscles to the MyoChallenge 2022

apex

Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers, ICLR 2021

beta-nll

beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022

blackbox-backprop

Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"

blackbox-deep-graph-matching

Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

blackbox-differentiation-combinatorial-solvers

caiac

Code for the paper: Causal Action Influence Aware Counterfactual Data Augmentation @ICML2024

cassi

Repository for our paper: Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions. (ICRA 2023)

cee-us

Repository for the paper: "Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation" @ NeurIPS 2022

cid-in-rl

Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Martius, G., NeurIPS 2021

cluster_utils

comboptnet

Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}

cwyc

deprl

Repository for our ICLR 2023 paper: DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems

diffcp-lpgd

Differentiation through cone programs

dominic

Code for our ICRA 2024 paper on learning diverse skills

dynamic-rl-benchmarks

Benchmark tasks proposed in "Hierarchical reinforcement learning with Timed Subgoals" by Guertler, Buechler and Martius

eql

Equation Learner, a neural network approach to symbolic regression

eql-pytorch

Equation learning method -- pytorch implementation

eql_tensorflow

Tensorflow implementation of equation learner

gatel0rd

Code for our NeurIPS 2021 paper: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains

gatel0rd-paper

Code for the paper: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains

gcopfce

Repository for our NeurIPS 2023 paper on Goal-conditioned Offline Planning from Curious Exploration

hitchhiking-rotations

Learning with 3D rotations, a hitchhiker’s guide to SO(3) - ICML 2024

hits

Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021

icem

improved Cross Entropy Method for trajectory optimization

insight-sensor

Code for processing data from the "Insight" haptic sensor

l0-regularization

A TensorFlow implementation of L0 regularization (Louizos et al 2017)

l4-optimizer

Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"

l4-pytorch

L4: Practical loss-based stepsize adaptation for PyTorch