FARE: Deep Reinforcement Learning For Fair Exposure Constrained Uncertainty Aware Financial Content Personalization

arXiv:2609.31890 · cs.LG, cs.AI, cs.IR · Submitted 2026-09-25 · Read on arXiv

cs.LG, cs.AI, cs.IR

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Reinforcement Learning — 12× in this paper · explained in 4 episodes
• Deep Reinforcement Learning — 7× in this paper · explained in 2 episodes
• Personalization — 7× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Actor — 4× in this paper · explained in 3 episodes
• Proximal Policy Optimization — 4× in this paper
• Robustness — 4× in this paper · explained in 5 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Aggregation — 3× in this paper · explained in 1 episode
• Credit assignment — 3× in this paper · explained in 3 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Share of Voice — 3× in this paper
• Benchmark — 2× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Decoupling — 2× in this paper · explained in 2 episodes
• Markov Decision Process — 2× in this paper
• Modularity — 2× in this paper · explained in 9 episodes
• Q-learning — 2× in this paper · explained in 3 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Graceful Degradation — 1× in this paper · explained in 2 episodes
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 5 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

• Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
• Evolution Strategies as a Scalable Alternative to Reinforcement Learning
• Proximal Policy Optimization Algorithms
• Online Allocation Rules in Display Advertising

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