Stars
31
Forks
6
Language
Python
Last Updated
Oct 02, 2022
Similar Repos
Repo | Language | Stars | Description | Updated At |
---|---|---|---|---|
Python | 22 | Code for paper https://arxiv.org/abs/2102.13186 | Sep 23, 2022 | |
Python | 50 | MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957 | Sep 11, 2022 | |
Python | 67 | Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729) | Sep 27, 2022 | |
Python | 74 | Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019) | Jul 30, 2022 | |
Python | 201 | Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071 | Oct 10, 2022 | |
Python | 110 | The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, … | Oct 13, 2022 | |
Python | 121 | Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470 | Oct 03, 2022 | |
Python | 6 | code for uai2017 paper: https://arxiv.org/abs/1704.06131 | Apr 06, 2021 | |
OpenEdge ABL | 9 | code for icml paper: https://arxiv.org/abs/1711.03243v3 | Jul 20, 2020 | |
Jupyter Notebook | 50 | Code for the paper https://arxiv.org/abs/2003.00827 | Aug 30, 2022 | |
Python | 18 | MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252) | Oct 14, 2023 | |
Jupyter Notebook | 30 | Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.09184 | Aug 29, 2022 | |
Python | 27 | Visuomotor policies from event-based cameras through representation learning and reinforcement learning. Accompanies our paper: https://arxiv.org/abs/2103.00806 | Jun 09, 2022 | |
Python | 4 | Code release for "Supported Policy Optimization for Offline Reinforcement Learning", https://arxiv.org/abs/2202.06239 | Aug 04, 2022 | |
Python | 53 | Paper: https://arxiv.org/abs/1702.02285 | Aug 29, 2022 | |
Jupyter Notebook | 21 | paper: https://arxiv.org/abs/2110.08037 | Apr 22, 2023 | |
Python | 21 | Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905 | Nov 26, 2022 | |
Python | 6 | Reinforcement learning with Proximal Policy Optimization (https://arxiv.org/abs/1707.06347) | Mar 16, 2023 | |
Python | 155 | Code and data for paper: https://arxiv.org/abs/1802.07101 | Sep 26, 2022 | |
MATLAB | 3 | Code repo for the paper https://arxiv.org/abs/1809.05021 | Jul 15, 2020 | |
Python | 128 | Code for ICRA 2021 paper: https://arxiv.org/abs/2012.03385 | Apr 25, 2023 | |
C++ | 25 | Code for IROS 2020 paper: https://arxiv.org/abs/1910.04854 | Feb 10, 2023 | |
Python | 3 | Code for Kinematic Highway paper (https://arxiv.org/abs/2103.16673) | Aug 02, 2022 | |
Jupyter Notebook | 61 | An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP problem. | Mar 28, 2023 | |
Python | 7 | Codes accompanying the paper "Offline Reinforcement Learning with Value-Based Episodic Memory" (ICLR 2022 https://arxiv.org/abs/2110.09796) | Jun 19, 2022 | |
CSS | 2 | Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792 | Sep 03, 2022 | |
Python | 188 | Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459) | Oct 12, 2022 | |
CSS | 23 | Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792 | Sep 11, 2022 | |
Python | 69 | A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783 | Sep 04, 2021 | |
Python | 46 | Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010 | Jul 05, 2022 | |
Python | 343 | code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503 | Oct 14, 2022 | |
Python | 20 | Tensorflow implementation for Robust Adversarial Reinforcement Learning: https://arxiv.org/pdf/1703.02702.pdf | Sep 07, 2022 | |
Python | 8 | Code to accompany NeurIPS paper https://arxiv.org/abs/2006.08564 | Feb 07, 2023 | |
Python | 67 | Code for our paper "A Model to Search for Synthesizable Molecules" (https://arxiv.org/abs/1906.05221) | Oct 15, 2022 | |
Python | 7 | Paper link: https://arxiv.org/abs/2001.01431 | Aug 11, 2022 | |
Python | 45 | Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929) | Oct 12, 2022 | |
Jupyter Notebook | 2 | PyTorch implementation of the WaveGAN model (https://arxiv.org/abs/1802.04208) for adversarial audio generation. | Apr 25, 2023 | |
Python | 84 | Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686 | Oct 17, 2022 | |
Python | 40 | Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup. | Sep 07, 2022 | |
Python | 2 | A Project based on this paper https://arxiv.org/abs/1703.01041 | Mar 11, 2020 | |
Python | 3 | Code for Off The Beaten Sidewalk paper (https://arxiv.org/abs/2006.00962) | Mar 23, 2023 | |
Python | 14 | Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317 | Dec 13, 2021 | |
Python | 337 | Code for https://arxiv.org/abs/1611.10080 | Oct 17, 2022 | |
Shell | 139 | Code for https://arxiv.org/abs/1703.05693 | May 29, 2022 | |
Python | 141 | Code for https://arxiv.org/abs/1810.04622 | Aug 07, 2022 | |
Python | 16 | Code for https://arxiv.org/abs/1712.00254 | Dec 08, 2021 | |
Python | 122 | Code for the paper "True Few-Shot Learning in Language Models" (https://arxiv.org/abs/2105.11447) | Oct 05, 2022 | |
C++ | 60 | Code accompanying the CVPR 2019 paper: https://arxiv.org/abs/1812.04155 | Oct 06, 2022 | |
Python | 54 | The repository for paper https://arxiv.org/abs/1902.10840 | Mar 31, 2022 | |
Jupyter Notebook | 726 | A multi-task learning example for the paper https://arxiv.org/abs/1705.07115 | Oct 17, 2022 |