Learning to Collaborate in Markov Decision Processes. - Goran Radanovic; Rati Devidze; David C. Parkes; Adish Singla (ICML, 2019)

Interactive Teaching Algorithms for Inverse Reinforcement Learning. - Parameswaran Kamalaruban; Rati Devidze; Volkan Cevher; Adish Singla (IJCAI, 2019)

Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints. - Sebastian Tschiatschek; Ahana Ghosh; Luis Haug; Rati Devidze; Adish Singla (NeurIPS, 2019)

Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. - Amin Rakhsha; Goran Radanovic; Rati Devidze; Xiaojin Zhu 001; Adish Singla (ICML, 2020)

Understanding the Power and Limitations of Teaching with Imperfect Knowledge. - Rati Devidze; Farnam Mansouri; Luis Haug; Yuxin Chen 001; Adish Singla (IJCAI, 2020)

Environment Shaping in Reinforcement Learning using State Abstraction. - Parameswaran Kamalaruban; Rati Devidze; Volkan Cevher; Adish Singla (CoRR, 2020)

Explicable Reward Design for Reinforcement Learning Agents. - Rati Devidze; Goran Radanovic; Parameswaran Kamalaruban; Adish Singla (NeurIPS, 2021)

Curriculum Design for Teaching via Demonstrations: Theory and Applications. - Gaurav Yengera; Rati Devidze; Parameswaran Kamalaruban; Adish Singla (NeurIPS, 2021)

Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. - Amin Rakhsha; Goran Radanovic; Rati Devidze; Xiaojin Zhu 001; Adish Singla (J. Mach. Learn. Res., 2021)

Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards. - Rati Devidze; Parameswaran Kamalaruban; Adish Singla (NeurIPS, 2022)

Learning to Play Text-Based Adventure Games with Maximum Entropy Reinforcement Learning. - Weichen Li; Rati Devidze; Sophie Fellenz (ECML/PKDD (4), 2023)

Potential-based reward shaping for learning to play text-based adventure games. - Weichen Li; Rati Devidze; Sophie Fellenz (CoRR, 2023)

Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games. - Weichen Li; Rati Devidze; Waleed Mustafa; Sophie Fellenz (AISTATS, 2024)

Informativeness of Reward Functions in Reinforcement Learning. - Rati Devidze; Parameswaran Kamalaruban; Adish Singla (AAMAS, 2024)

Reward Design for Reinforcement Learning Agents. - Rati Devidze (CoRR, 2025)