An Emerging Retail Portfolio Management Application: Personalized, Tax-Aware Reinforcement Learning with Natural Language Goals
Ramin Pishehvar
cs.LG, cs.AI, cs.CR
Submitted: 2026-08-05
Code: https://github.com/rpishehvar/PublicFinance-RL
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Concrete Problems in AI Safety
- A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
- A Three-Phase Foundation Model for Tax-Aware Personalized Portfolio Management
- Proximal Policy Optimization Algorithms
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks