Rati Devidze

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Markov Decision Process

Bayesian Nonparametric

Reinforcement Learning

Top Venues

Publications

Weichen Li, Rati Devidze, Waleed Mustafa, Sophie Fellenz
Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games. AISTATS (2024)
Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Informativeness of Reward Functions in Reinforcement Learning. AAMAS (2024)
Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Informativeness of Reward Functions in Reinforcement Learning. CoRR (2024)
Weichen Li, Rati Devidze, Sophie Fellenz
Potential-based reward shaping for learning to play text-based adventure games. CoRR (2023)
Weichen Li, Rati Devidze, Sophie Fellenz
Learning to Play Text-Based Adventure Games with Maximum Entropy Reinforcement Learning. ECML/PKDD (4) (2023)
Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards. NeurIPS (2022)
Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Curriculum Design for Teaching via Demonstrations: Theory and Applications. NeurIPS (2021)
Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Curriculum Design for Teaching via Demonstrations: Theory and Applications. CoRR (2021)
Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. J. Mach. Learn. Res. 22 (2021)
Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban, Adish Singla
Explicable Reward Design for Reinforcement Learning Agents. NeurIPS (2021)
Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla
Understanding the Power and Limitations of Teaching with Imperfect Knowledge. CoRR (2020)
Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla
Understanding the Power and Limitations of Teaching with Imperfect Knowledge. IJCAI (2020)
Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. CoRR (2020)
Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. CoRR (2020)
Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
Environment Shaping in Reinforcement Learning using State Abstraction. CoRR (2020)
Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. ICML (2020)
Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla
Learning to Collaborate in Markov Decision Processes. ICML (2019)
Sebastian Tschiatschek, Ahana Ghosh, Luis Haug, Rati Devidze, Adish Singla
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints. NeurIPS (2019)
Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
Interactive Teaching Algorithms for Inverse Reinforcement Learning. CoRR (2019)
Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla
Learning to Collaborate in Markov Decision Processes. CoRR (2019)
Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
Interactive Teaching Algorithms for Inverse Reinforcement Learning. IJCAI (2019)
Sebastian Tschiatschek, Ahana Ghosh, Luis Haug, Rati Devidze, Adish Singla
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints. CoRR (2019)