dimonenka / optimalerLinks
Optimal-er Auctions through Attention, NeurIPS 2022
☆20Updated 2 years ago
Alternatives and similar repositories for optimaler
Users that are interested in optimaler are comparing it to the libraries listed below
Sorting:
- Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).☆18Updated 3 years ago
- Baseline for NeurIPS_Auto_Bidding_General_Track☆33Updated last year
- Implementation of Optimal Auctions through Deep Learning☆129Updated 5 years ago
- A curated list of causal reinforcement learning resources.☆96Updated last year
- Awesome In-Context RL: A curated list of In-Context Reinforcement Learning - - —☆212Updated 3 weeks ago
- ☆61Updated last year
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆214Updated 11 months ago
- Code for the tutorial/review paper for RL-based-fine-tuniing. In this code, we especially focus on the design of biological sequences li…☆144Updated 10 months ago
- A curated list of resources about generative flow networks (GFlowNets).☆477Updated 10 months ago
- [TMLR 2025 & ICLR 2025 DeLTa] Official Implementation of Design Editing for Offline Model-based Optimization 🧬 🤖☆10Updated 3 months ago
- ☆52Updated 2 months ago
- Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".☆21Updated 2 months ago
- Diffusion model derived evolutionary algorithm☆223Updated last month
- Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments☆285Updated 4 months ago
- Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.☆34Updated 2 years ago
- A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch☆130Updated 2 months ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆67Updated 2 years ago
- Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.☆47Updated 2 years ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆64Updated last month
- 此项目中将上传我在B站《强化学习理论基础》系列视频中的板书、参考资料等内容。☆79Updated 2 years ago
- Generative Flow Networks - GFlowNet☆268Updated 3 weeks ago
- A modular, easy to extend GFlowNet library☆284Updated this week
- Re-implementations of SOTA RL algorithms.☆134Updated last year
- A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges☆248Updated 6 months ago
- ☆313Updated 2 years ago
- Related papers for reinforcement learning, including classic papers and latest papers in top conferences☆459Updated 4 months ago
- This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.☆186Updated 8 months ago
- codes for SORL framework for auto-bidding☆40Updated 2 years ago
- Monitoring recent cross-research on LLM & RL on arXiv for control. If there are good papers, PRs are welcome.☆459Updated 11 months ago
- [ICLR 2024 Spotlight] Code for the paper "Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making"☆12Updated last year