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Jasmina Gajcin — most-cited papers & profile · Reinforcement Learning
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Jasmina Gajcin
8
papers ·
19
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning
2022 · 7 citations
Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification
2023 · 6 citations
Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents
2021 · 3 citations
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning
2022 · 2 citations
Semifactual Explanations for Reinforcement Learning
2024 · 1 citations
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities
2022
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning
2023
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies
2024
Top co-authors
Ivana Dusparic
· 8
Elizabeth Daly
· 2
Rahul Nair
· 2
James McCarthy
· 1
Jovan Jeromela
· 1
Radu Marinescu
· 1
Radu Marinescu
· 1
Tejaswini Pedapati
· 1
Tom He
· 1
Topics
Safe RL
Model-Based RL
Exploration
RLHF & Alignment
Multi-Agent
Policy Gradient
Meta-RL
Value-Based