Rati Devidze

Hello!

My name is Rati Devidze and I am a PhD student in Machine Teaching Group at MPI-SWS , Saarbrücken, Germany.

My Interests

I like algorithmic machine learning and my interests are:

-(Inverse)Reinforcement learning

-Machine teaching

-Machine learning

More information

For more information about me, please see my [ CV ].

Publications:

► Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards
R. Devidze, P. Kamalaruban, A. Singla
In Proc. of the 36th Conference on Neural Information Processing Systems (NeurIPS'22), 2022

► Explicable Reward Design for Reinforcement Learning Agents
R. Devidze, G. Radanovic, P. Kamalaruban, A. Singla
In Proc. of the 35th Conference on Neural Information Processing Systems (NeurIPS'21), 2021

► Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks
A. Rakhsha, G. Radanovic, R. Devidze, X. Zhu, A. Singla
Journal of Machine Learning Research (JMLR), 2021

► Understanding the Power and Limitations of Teaching with Imperfect Knowledge
R. Devidze^*, F. Mansouri^*, L. Haug, Y. Chen, A. Singla
( ^* Authors have contributed equally to this work)
In Proc. of the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), 2020

► Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
A. Rakhsha, G. Radanovic, R. Devidze, X. Zhu, A. Singla
In Proc. of the 37th International Conference on Machine Learning (ICML'20), 2020

► Environment Shaping in Reinforcement Learning using State Abstraction
P. Kamalaruban, R. Devidze, V. Cevher, A. Singla
In Challenges of Real World Reinforcement Learning Workshop at NeurIPS'20, 2020

► Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints
S. Tschiatschek^*, A. Ghosh^*, L. Haug^*, R. Devidze, A. Singla
( ^* Authors have contributed equally to this work)
In Proc. of the 33rd Conference on Neural Information Processing Systems (NeurIPS'19), 2019

► Interactive Teaching Algorithms for Inverse Reinforcement Learning
P. Kamalaruban^*, R. Devidze ^*, V. Cevher, A. Singla
( ^* Authors have contributed equally to this work)
In Proc. of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), 2019

► Learning to Collaborate in Markov Decision Processes
G. Radanovic, R. Devidze, D. Parkes, A. Singla
In Proc. of the 36th International Conference on Machine Learning (ICML'19), 2019

► Assisted Inverse Reinforcement Learning
P. Kamalaruban, R. Devidze, T. Yeo, T. Mittal, V. Cevher, A. Singla
In Learning by Instruction Workshop at NeurIPS'18, 2018