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Ioannis Ch. Paschalidis — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Ioannis Ch. Paschalidis
18
papers ·
37
citations ·
41
h-index
Boston University · University of Massachusetts Boston · Computing Center
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Most-cited papers
Generalized Proximal Policy Optimization with Sample Reuse
2021 · 21 citations
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems
2024 · 5 citations
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations
2024 · 3 citations
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees
2023 · 2 citations
Geometric Re-Analysis of Classical MDP Solving Algorithms
2025
Analysis of Value Iteration Through Absolute Probability Sequences
2025
MDP Geometry, Normalization and Reward Balancing Solvers
2024
Learning Policies for Markov Decision Processes from Data
2017
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach
2020
Combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task
2022
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse
2022
Closing the gap between SVRG and TD-SVRG with Gradient Splitting
2022
One-Shot Averaging for Distributed TD($λ$) Under Markov Sampling
2024
Multiple-policy Evaluation via Density Estimation
2024
On Value Iteration Convergence in Connected MDPs
2024
Top co-authors
Alex Olshevsky
· 6
Arsenii Mustafin
· 5
Christos G. Cassandras
· 5
James Queeney
· 5
Vittorio Giammarino
· 3
Aleksei Pakharev
· 2
Erhan Can Ozcan
· 2
Aldo Pacchiano
· 1
Chantal E Stern
· 1
Ehsan Sabouni
· 1
Hao Liu
· 1
Haoxing Tian
· 1
Topics
Value-Based
Model-Based RL
Offline RL
Policy Gradient
Safe RL
Exploration
Game AI
Multi-Agent