mlsanityData to 7 Oct 2026

Offline Deep Reinforcement Learning for Dynamic Pricing of Consumer Credit

arXiv 2203.03003 ↗First posted 6 Mar 2022cs.LG q-fin.RM stat.MLcited by 3

On the map: Offline RL and imitation learning from data → Decision transformers and sequence modeling

Abstract (arXiv)

We introduce a method for pricing consumer credit using recent advances in offline deep reinforcement learning. This approach relies on a static dataset and requires no assumptions on the functional form of demand. Using both real and synthetic data on consumer credit applications, we demonstrate that our approach using the conservative Q-Learning algorithm is capable of learning an effective personalized pricing policy without any online interaction or price experimentation.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Placed in Decision transformers and sequence modeling, one of 13 directions in Offline RL and imitation learning from data. Builds on 9 of its 29 references that are in the map. First posted on arXiv 6 Mar 2022.

Builds on

9 of 29 references.

References · 9

  1. 2018Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actorcited by 4,635
  2. 2020Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problemscited by 1,873
  3. 2020Conservative Q-Learning for Offline Reinforcement Learningcited by 1,777
  4. 2022A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problemscited by 228
  5. 2019Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learningcited by 121
  6. 2020Hyperparameter Selection for Offline Reinforcement Learningcited by 113
  7. 2019Hedging the Drift: Learning to Optimize under Non-Stationaritycited by 46
  8. 2019Meta Dynamic Pricing: Transfer Learning Across Experimentscited by 41
  9. 2021Distribution-free Contextual Dynamic Pricingcited by 22

Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 2.

3 papers.

  1. 2023Insurance pricing on price comparison websites via reinforcement learningcited by 3
  2. 2024Dynamic Pricing in Securities Lending Market: Application in Revenue Optimization for an Agent Lender Portfoliocited by 1
  3. 2024Hedging and Pricing Structured Products Featuring Multiple Underlying Assetscited by 1

Similar, not cited

Close in wording, no citation either way

  1. 2021Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs
  2. 2025From Rules to Rewards: Reinforcement Learning for Interest Rate Adjustment in DeFi Lending
  3. 2024A Tale of Two Cities: Pessimism and Opportunism in Offline Dynamic Pricing
  4. 2023HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement Learning
  5. 2022BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion
  6. 2022Calibration of Derivative Pricing Models: a Multi-Agent Reinforcement Learning Perspective
  7. 2026Variational Quantum Circuit-Based Reinforcement Learning for Dynamic Portfolio Optimization
  8. 2023Offline Reinforcement Learning for Optimizing Production Bidding Policies