1 citations · 1 across the 3 of their papers we have counts for
3 papers
Diffusion-Augmented Reinforcement Learning for Robust Portfolio Optimization under Stress Scenarios
Himanshu Choudhary, Arishi Orra, Manoj Thakur
In the ever-changing and intricate landscape of financial markets, portfolio optimisation remains a formidable challenge for investors and asset managers. Conventional methods ofte…
FinXplore: An Adaptive Deep Reinforcement Learning Framework for Balancing and Discovering Investment Opportunities
Himanshu Choudhary, Arishi Orra, Manoj Thakur
Portfolio optimization is essential for balancing risk and return in financial decision-making. Deep Reinforcement Learning (DRL) has stood out as a cutting-edge tool for portfolio…
Deep Reinforcement Learning for Investor-Specific Portfolio Optimization: A Volatility-Guided Asset Selection Approach
Arishi Orra, Aryan Bhambu, Himanshu Choudhary +2
Portfolio optimization requires dynamic allocation of funds by balancing the risk and return tradeoff under dynamic market conditions. With the recent advancements in AI, Deep Rein…