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Diego Klabjan — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Diego Klabjan
32
papers ·
62
citations ·
39
h-index
Google Scholar ↗
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Most-cited papers
Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations
2018 · 6 citations
Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms
2020 · 1 citations
Learning Multiple Coordinated Agents under Directed Acyclic Graph Constraints
2023 · 1 citations
Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling
2024 · 1 citations
Feature Acquisition using Monte Carlo Tree Search
2022
An Ensemble Method of Deep Reinforcement Learning for Automated Cryptocurrency Trading
2023
On the Second-Order Convergence of Biased Policy Gradient Algorithms
2023
Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient
2024
Top co-authors
Balakrishnan Ananthanarayanan
· 2
Husam Dauod
· 2
Jaeyeon Jang
· 2
Nital S. Patel
· 2
Tzung-Han Juang
· 2
Xiuqi Li
· 2
Han Liu
· 1
Han Liu
· 1
Jean Utke
· 1
Mark Shapiro
· 1
Mengfan Xu
· 1
Shuyang Wang
· 1
Topics
Model-Based RL
Multi-Agent
Policy Gradient
Exploration
Value-Based
Game AI
Offline RL
Safe RL