articles added

Author: frolovdmn

README.md

@@ -46,6 +46,7 @@ The use of RL methods in RTB bid optimization will allow you to increase the eff
 | Real-Time Bidding A New Frontier of Computational Advertising Research | Description of auction types, bidding strategies, pacing (slides) | [[Link]](http://www0.cs.ucl.ac.uk/staff/w.zhang/rtb-papers/rtb-tutorial-wsdm.pdf) |
 | Real-Time Bid Optimization with Smooth Budget Delivery in Online Advertising | Description of pacing types | [[Link]](https://arxiv.org/pdf/1305.3011.pdf) |
 | Optimal Real-Time Bidding for Display Advertising | Bidding strategies overview | [[Link]](https://wnzhang.net/papers/ortb-kdd.pdf) |
+| Auto-bidding in real-time auctions via Oracle Imitation Learning | Multiple-choice Knapsack problem with a nonlinear objective | [[Link]](https://www.arxiv.org/pdf/2412.11434v3)|
 
 ## Bid Landcape Forecasting
 | Title | Short description | Link | The year of publication | 
@@ -118,7 +119,8 @@ Of course, the algorithms are not without nuances and not without shortcomings (
 | Bid Optimization using Maximum Entropy Reinforcement Learning | SAC | [[Link]](https://arxiv.org/pdf/2110.05032.pdf) | 2021 | 
 | Dynamic pricing under competition using Reinforcement Learning | DQN, SAC | [[Link]](https://link.springer.com/article/10.1057/s41272-021-00285-3) | 2021 | 
 | Multi-Objective Actor-Critics for Real-Time Bidding in Display Advertising | DQN, A2C, A3C | [[Link]](https://www.arxiv.org/pdf/2002.07408) | 2022 |
-| Real-time Bidding Strategy in Display Advertising: An Empirical Analysis | DQN, TD3 | [[Link]](https://arxiv.org/pdf/2212.02222.pdf) | 2022 | 
+| Real-time Bidding Strategy in Display Advertising: An Empirical Analysis | DQN, TD3 | [[Link]](https://arxiv.org/pdf/2212.02222.pdf) | 2022 |
+| RTBAgent: A LLM-based Agent System for Real-Time Bidding| LLM agent | [[Link]](https://www.arxiv.org/pdf/2502.00792)| 2025 |
 
 ## Datasets and benchmarks
 | Title | Short description | Paper link | Download link | The year of publication |