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Igor Gilitschenski — most-cited papers & profile · Reinforcement Learning
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overview
Igor Gilitschenski
19
papers ·
30
citations ·
28
h-index
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Most-cited papers
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
2021 · 15 citations
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
2021 · 3 citations
Solving Continuous Control via Q-learning
2022 · 3 citations
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
2022 · 1 citations
Test-Time Graph Search for Goal-Conditioned Reinforcement Learning
2025
$λ$-models: Effective Decision-Aware Reinforcement Learning with Latent Models
2023
Dissecting Deep RL with High Update Ratios: Combatting Value Divergence
2024
When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning
2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
2024
Top co-authors
Amir-massoud Farahmand
· 4
Daniela Rus
· 4
Tim Seyde
· 4
Wilko Schwarting
· 4
Claas Voelcker
· 3
Claas A Voelcker
· 2
Eric Eaton
· 2
Marcel Hussing
· 2
Markus Wulfmeier
· 2
Martin Riedmiller
· 2
Ryan Sander
· 2
Sertac Karaman
· 2
Topics
Value-Based
Model-Based RL
Offline RL
Multi-Agent
Game AI
Exploration
Policy Gradient
Safe RL
Meta-RL