Scholar
Rati Devidze
Google Scholar ID: y-pLgHgAAAAJ
Max Planck Institute for Software Systems (MPI-SWS)
Citations & Impact
Citations
576
H-index
9
i10-index
9
Publications
15
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- 2024: PhD Thesis: Reward Design for Reinforcement Learning Agents
- Jan 19, 2024: Our paper 'Ethics in Action: Training Reinforcement Learning Agent for Moral Decision-making In Text-based Adventure Games' was accepted to AISTATS'24.
- Dec 15, 2023: Our paper 'Informativeness of Reward Functions in Reinforcement Learning' was accepted to AAMAS'24.
- Sep 14, 2022: Our paper 'Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards' was accepted to NeurIPS'22.
- Sep 28, 2021: Our paper 'Explicable Reward Design for Reinforcement Learning Agents' was accepted to NeurIPS'21.
Research Experience
- Throughout my tenure in Computer Science, I've been focused on developing informative and explicable reward functions to guide agents toward their goals by incentivizing optimal actions and discouraging incorrect ones via negative rewards.
Education
- Currently a final-year (all but dissertation) PhD student at the Machine Teaching group of Max Planck Institute for Software Systems (MPI-SWS), in Saarbrücken, Germany, and a member of the Saarbrücken Graduate School of Computer Science.
Background
- Research Interests: Advancing Reinforcement Learning methodologies, particularly in formalizing reward design frameworks. Field: Computer Science, Reinforcement Learning.
Co-authors