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Stas Tiomkin — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Stas Tiomkin
11
papers ·
30
citations ·
7
h-index
Texas Tech University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning
2020 · 17 citations
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards
2019 · 4 citations
Preventing Imitation Learning with Adversarial Policy Ensembles
2020 · 4 citations
Bootstrapped Reward Shaping
2025 · 3 citations
Multi-Objective Policy Gradients with Topological Constraints
2022 · 2 citations
Average-Reward Soft Actor-Critic
2025
EVAL: EigenVector-based Average-reward Learning
2025
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning
2022
Leveraging Prior Knowledge in Reinforcement Learning via Double-Sided Bounds on the Value Function
2023
Bounding the Optimal Value Function in Compositional Reinforcement Learning
2023
Learning telic-controllable state representations
2024
Top co-authors
Jacob Adamczyk
· 6
Pieter Abbeel
· 4
Rahul Kulkarni
· 4
Volodymyr Makarenko
· 4
Argenis Arriojas
· 2
Xingyu Lu
· 2
Albert Zhan
· 1
Kimin Lee
· 1
Kyle Hollins Wray
· 1
Mykel J. Kochenderfer
· 1
Nadav Amir
· 1
Rahul V. Kulkarni
· 1
Topics
Value-Based
Policy Gradient
Meta-RL
Model-Based RL
Safe RL
Exploration
Game AI
Offline RL
Multi-Agent