Rati Devidze

According to our database, Rati Devidze authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Informativeness of Reward Functions in Reinforcement Learning.

Rati Devidze, Parameswaran Kamalaruban, Adish Singla

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games.

Weichen Li, Rati Devidze, Waleed Mustafa, Sophie Fellenz

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Potential-based reward shaping for learning to play text-based adventure games.

Weichen Li, Rati Devidze, Sophie Fellenz

CoRR, 2023

Learning to Play Text-Based Adventure Games with Maximum Entropy Reinforcement Learning.

Weichen Li, Rati Devidze, Sophie Fellenz

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards.

Rati Devidze, Parameswaran Kamalaruban, Adish Singla

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks.

Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla

J. Mach. Learn. Res., 2021

Curriculum Design for Teaching via Demonstrations: Theory and Applications.

Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explicable Reward Design for Reinforcement Learning Agents.

Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban, Adish Singla

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Environment Shaping in Reinforcement Learning using State Abstraction.

Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla

CoRR, 2020

Understanding the Power and Limitations of Teaching with Imperfect Knowledge.

Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning.

Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints.

Sebastian Tschiatschek, Ahana Ghosh, Luis Haug, Rati Devidze, Adish Singla

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Interactive Teaching Algorithms for Inverse Reinforcement Learning.

Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning to Collaborate in Markov Decision Processes.

Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla

Proceedings of the 36th International Conference on Machine Learning, 2019