Arishi Orra

According to our database, Arishi Orra authored at least 6 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Risk-Adjusted Deep Reinforcement Learning for Portfolio Optimization: A Multi-reward Approach.

Himanshu Choudhary, Arishi Orra, Kartik Sahoo, Manoj Thakur

Int. J. Comput. Intell. Syst., December, 2025

Enhancing deep reinforcement learning for stock trading: a reward shaping approach via expert feedback.

Arishi Orra, Himanshu Choudhary, Ankit Sharma, Manoj Thakur

Knowl. Inf. Syst., November, 2025

Diffusion-Augmented Reinforcement Learning for Robust Portfolio Optimization under Stress Scenarios.

Himanshu Choudhary, Arishi Orra, Manoj Thakur

CoRR, October, 2025

Deep Reinforcement Learning for Investor-Specific Portfolio Optimization: A Volatility-Guided Asset Selection Approach.

Arishi Orra, Aryan Bhambu, Himanshu Choudhary, Manoj Thakur, Selvaraju Natarajan

CoRR, May, 2025

FinXplore: An Adaptive Deep Reinforcement Learning Framework for Balancing and Discovering Investment Opportunities.

Himanshu Choudhary, Arishi Orra, Manoj Thakur

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

Dynamic Reinforced Ensemble using Bayesian Optimization for Stock Trading.

Arishi Orra, Aryan Bhambu, Himanshu Choudhary, Manoj Thakur

Proceedings of the 5th ACM International Conference on AI in Finance, 2024