chaovven / maabLinks
Code for "A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising" WSDM 2022
☆24Updated 3 years ago
Alternatives and similar repositories for maab
Users that are interested in maab are comparing it to the libraries listed below
Sorting:
- codes for SORL framework for auto-bidding☆41Updated 3 weeks ago
- Baseline for NeurIPS_Auto_Bidding_General_Track☆35Updated last year
- "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580☆57Updated 4 years ago
- ☆21Updated 2 years ago
- paper list in the area of reinforcenment learning for recommendation systems☆25Updated 5 years ago
- A new paper list for multi-agent reinforcement learning (actively maintained)☆24Updated 5 years ago
- ☆25Updated 3 years ago
- rushhan / Generative-Adversarial-User-Model-for-Reinforcement-Learning-Based-Recommendation-System-Pytorch☆40Updated 2 years ago
- ☆31Updated 2 years ago
- [ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.☆59Updated 2 years ago
- An unofficial implementation for online decision transformer☆40Updated 2 years ago
- A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.☆72Updated 5 years ago
- ☆18Updated 6 years ago
- Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239☆22Updated 2 years ago
- Pytorch implementation of BEAR in "Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction"☆11Updated 5 years ago
- Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising☆27Updated 5 years ago
- A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.☆40Updated 5 years ago
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆124Updated 9 months ago
- ICML'2024: Q-value Regularized Transformer for Offline Reinforcement Learning☆34Updated 8 months ago
- A Real-World Benchmark for Reinforcement Learning based Recommender System☆230Updated last year
- ☆32Updated 2 years ago
- ☆28Updated last year
- Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".☆53Updated last year
- Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).☆18Updated 3 years ago
- Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>☆13Updated 3 years ago
- ☆30Updated 2 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- RLA is a tool for managing your RL experiments automatically☆71Updated 2 years ago
- Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.☆47Updated 2 years ago
- ☆61Updated 6 years ago