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Ufuk Topcu — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Ufuk Topcu
41
papers ·
233
citations ·
47
h-index
The University of Texas at Austin
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Environment-Independent Task Specifications via GLTL
2017 · 62 citations
Transfer of Temporal Logic Formulas in Reinforcement Learning
2019 · 46 citations
Self-Supervised Online Reward Shaping in Sparse-Reward Environments
2021 · 39 citations
Safe Multi-Agent Reinforcement Learning via Shielding
2021 · 30 citations
Joint Inference of Reward Machines and Policies for Reinforcement Learning
2019 · 12 citations
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples
2020 · 8 citations
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks
2020 · 8 citations
Safe Reinforcement Learning via Shielding under Partial Observability
2022 · 3 citations
Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machine
2024 · 3 citations
Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics
2022 · 2 citations
Reinforcement Learning with Temporal-Logic-Based Causal Diagrams
2023 · 2 citations
Efficient Strategy Synthesis for MDPs with Resource Constraints
2021 · 1 citations
Hierarchical Control for Head-to-Head Autonomous Racing
2022 · 1 citations
On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples
2023 · 1 citations
Reward-Machine-Guided, Self-Paced Reinforcement Learning
2023 · 1 citations
Top co-authors
Murat Cubuktepe
· 5
Nils Jansen
· 5
Zhe Xu
· 5
Daniel Neider
· 4
Aryaman Singh Samyal
· 3
Bo Wu
· 3
Cevahir Koprulu
· 3
Christos Verginis
· 3
Cyrus Neary
· 3
Sandeep Chinchali
· 3
Sebastian Junges
· 3
Craig Lennon
· 2
Topics
Model-Based RL
Safe RL
Exploration
Meta-RL
Value-Based
Multi-Agent
Game AI
Offline RL
RLHF & Alignment