Mid Related ICAIF Papers#
- ICAIF2022
- Mid Related
Market Making under Order Stacking Framework: A Deep Reinforcement Learning Approach
Graph and tensor-train recurrent neural networks for high-dimensional models of limit order books
Computationally Efficient Feature Significance and Importance for Predictive Models
LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering
Deep Hedging: Continuous Reinforcement Learning for Hedging of General Portfolios across Multiple Risk Aversions
Efficient Calibration of Multi-Agent Simulation Models from Output Series with Bayesian Optimization
- ICAIF2021
- Mid Related
Deep Q-learning market makers in a multi-agent simulated stock market
FinRL: deep reinforcement learning framework to automate trading in quantitative finance
Sig-wasserstein GANs for time series generation
Agent-based markets: equilibrium strategies and robustness
Intelligent trading systems: a sentiment-aware reinforcement learning approach
High frequency automated market making algorithms with adverse selection risk control via reinforcement learning
- Low Realted
An automated portfolio trading system with feature preprocessing and recurrent reinforcement learning
Monte carlo tree search for trading and hedging
Visual time series forecasting: an image-driven approach
Trading via selective classification
Timing is money: the impact of arrival order in beta-bernoulli prediction markets
An agent-based model of strategic adoption of real-time payments
FinRL-podracer: high performance and scalable deep reinforcement learning for quantitative finance
Stability effects of arbitrage in exchange traded funds: an agent-based model
- ICAIF2020
- Mid Related
A tabular sarsa-based stock market agent
Dynamic prediction length for time series with sequence to sequence network