li-lf / PyNOL
A Python Package for Non-stationary Online Learning (PyNOL)
☆30Updated last year
Alternatives and similar repositories for PyNOL:
Users that are interested in PyNOL are comparing it to the libraries listed below
- ☆17Updated 2 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆47Updated 3 years ago
- [TNNLS-2024, arXiv-2023.2.10] Official repository of "A Survey on Causal Reinforcement Learning"☆20Updated this week
- Benchmark for bi-level optimization solvers☆44Updated 4 months ago
- A python package providing a benchmark with various specified distribution shift patterns.☆57Updated last year
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆34Updated 4 years ago
- Code repo for the NeurIPS 2021 paper "Online Adaption to Label Distribution Shift".☆15Updated 2 years ago
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆177Updated 3 months ago
- Bi-level Optimization for Advanced Deep Learning☆44Updated 3 years ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆14Updated 8 months ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆63Updated 2 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆28Updated last year
- ☆17Updated 3 years ago
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆38Updated 3 years ago
- Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).☆16Updated 2 years ago
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆27Updated 3 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239☆21Updated last year
- A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…☆14Updated 2 years ago
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 4 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆115Updated last year
- Deconfounding Reinforcement Learning in Observational Settings☆51Updated 6 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆63Updated 4 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆36Updated last year
- ☆11Updated last year
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 6 years ago
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆24Updated 3 years ago
- Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features☆13Updated 3 years ago
- Code for AAAI 2020 paper "Ensembles of Locally Independent Prediction Models"☆8Updated 5 years ago
- ☆31Updated 4 years ago