Ekaterina Nikonova

According to our database, Ekaterina Nikonova authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

NovPhy: A Physical Reasoning Benchmark for Open-World AI Systems Author Links Open Overlay Panel (Abstract Reprint).

Vimukthini Pinto, Chathura Nagoda Gamage, Cheng Xue, Peng Zhang, Ekaterina Nikonova, Matthew Stephenson, Jochen Renz

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

NovPhy: A physical reasoning benchmark for open-world AI systems.

Vimukthini Pinto, Chathura Nagoda Gamage, Cheng Xue, Peng Zhang, Ekaterina Nikonova, Matthew Stephenson, Jochen Renz

Artif. Intell., 2024

2023

Phy-Q as a measure for physical reasoning intelligence.

Cheng Xue, Vimukthini Pinto, Chathura Nagoda Gamage, Ekaterina Nikonova, Peng Zhang, Jochen Renz

Nat. Mac. Intell., January, 2023

Rapid Open-World Adaptation by Adaptation Principles Learning.

Cheng Xue, Ekaterina Nikonova, Peng Zhang, Jochen Renz

CoRR, 2023

Efficient Open-world Reinforcement Learning via Knowledge Distillation and Autonomous Rule Discovery.

Ekaterina Nikonova, Cheng Xue, Jochen Renz

CoRR, 2023

NovPhy: A Testbed for Physical Reasoning in Open-world Environments.

Chathura Nagoda Gamage, Vimukthini Pinto, Cheng Xue, Peng Zhang, Ekaterina Nikonova, Matthew Stephenson, Jochen Renz

CoRR, 2023

2022

Don't do it: Safer Reinforcement Learning With Rule-based Guidance.

Ekaterina Nikonova, Cheng Xue, Jochen Renz

CoRR, 2022

Measuring Difficulty of Novelty Reaction.

Ekaterina Nikonova, Cheng Xue, Vimukthini Pinto, Chathura Nagoda Gamage, Peng Zhang, Jochen Renz

CoRR, 2022

2021

Phy-Q: A Benchmark for Physical Reasoning.

Cheng Xue, Vimukthini Pinto, Chathura Nagoda Gamage, Ekaterina Nikonova, Peng Zhang, Jochen Renz

CoRR, 2021

2019

Deep Q-Network for Angry Birds.

Ekaterina Nikonova, Jakub Gemrot

CoRR, 2019