Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Otabek Sattarov

Assistant Professor

Gachon University

South Korea

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in South Korea Professors in Reinforcement Learning Reinforcement Learning professors in South Korea

Articles (10)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Collaborators (4)

Abdinabi Mukhamadiyev

Research Professor

Gachon University

SOUTH KOREA

View details

Jaeyoung Choi

Gachon University

SOUTH KOREA

View details

Jinsoo Cho

Gachon University

SOUTH KOREA

View details

Halimjon Khujamatov

Research professor

Gachon University

SOUTH KOREA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Otabek Sattarov

Research Interests

Make your next move.

Explore related searches

Articles (10)

A Nonlinear Model of Three-Layer Groundwater Flow with Evaporation Dependent on the Critical Groundwater Level

Confidence-Aware Reward Shaping for Crypto Trading: A Comparative Study of Lightweight Uncertainty Estimation Methods

Optimizing Crypto-Trading Performance: A Comparative Analysis of Innovative Reward Functions in Reinforcement Learning Models

Optimizing cryptocurrency trades with twin delayed DDPG: Adaptive multi-factor reward function with diverse data sources

Detection of Rumors and Their Sources in Social Networks: A Comprehensive Survey

Risk-Aware Crypto Price Prediction Using DQN with Volatility-Adjusted Rewards Across Multi-Period State Representations

From Prediction to Profit: A Comprehensive Review of Cryptocurrency Trading Strategies and Price Forecasting Techniques

Multi-level deep Q-networks for Bitcoin trading strategies

Enhanced Bitcoin Price Direction Forecasting With DQN

Forecasting Bitcoin Volatility Through on-Chain and Whale-Alert Tweet Analysis Using the Q-Learning Algorithm

Collaborators (4)

Abdinabi Mukhamadiyev

Jaeyoung Choi

Jinsoo Cho

Halimjon Khujamatov

Make your next move.