huaxiuyao / HSML_DynamicLinks
HSML Dynamic version for ICML 2019
☆12Updated 6 years ago
Alternatives and similar repositories for HSML_Dynamic
Users that are interested in HSML_Dynamic are comparing it to the libraries listed below
Sorting:
- HSML for ICML 2019☆51Updated 6 years ago
- ARML for ICLR 2020☆42Updated 5 years ago
- ☆15Updated 6 years ago
- ☆32Updated 3 years ago
- Continual learning of task-specific approximations of the parameter posterior distribution via a shared hypernetwork.☆16Updated last year
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Updated 6 years ago
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Updated 5 years ago
- ☆78Updated 4 years ago
- A Continual Multi-agent RL testbed based on Hanabi☆32Updated 4 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Updated 3 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆51Updated 6 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆13Updated 4 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆77Updated 3 years ago
- ☆19Updated 6 years ago
- Code for paper Causal Confusion in Imitation Learning☆46Updated 6 years ago
- ☆65Updated last year
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆65Updated 6 years ago
- Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework☆52Updated 5 years ago
- ☆69Updated 5 years ago
- ☆18Updated 4 years ago
- This repo includes our code for evaluating and improving transferability in domain generalization (NeurIPS 2021)☆13Updated 3 years ago
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆34Updated 5 years ago
- Learning To Stop While Learning To Predict☆34Updated 3 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Updated 4 years ago
- Tensorflow implementation of Invariant Rationalization☆50Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Updated 4 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 6 years ago
- ☆17Updated 5 years ago