Rati Devidze

According to our database1, Rati Devidze authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Informativeness of Reward Functions in Reinforcement Learning.
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.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Potential-based reward shaping for learning to play text-based adventure games.
CoRR, 2023

Learning to Play Text-Based Adventure Games with Maximum Entropy Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022
Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards.
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.
J. Mach. Learn. Res., 2021

Curriculum Design for Teaching via Demonstrations: Theory and Applications.
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.
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.
CoRR, 2020

Understanding the Power and Limitations of Teaching with Imperfect Knowledge.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints.
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.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning to Collaborate in Markov Decision Processes.
Proceedings of the 36th International Conference on Machine Learning, 2019


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