Miroslav Strupl

According to our database, Miroslav Strupl authored at least 5 papers between 2022 and 2025.

Collaborative distances:

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

2025

Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning.

Ardian Selmonaj, Miroslav Strupl, Oleg Szehr, Alessandro Antonucci

CoRR, August, 2025

On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers.

Miroslav Strupl, Oleg Szehr, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber

CoRR, February, 2025

2024

Highway Reinforcement Learning.

Yuhui Wang, Miroslav Strupl, Francesco Faccio, Qingyuan Wu, Haozhe Liu, Michal Grudzien, Xiaoyang Tan, Jürgen Schmidhuber

CoRR, 2024

2022

Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets.

Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Jürgen Schmidhuber, Rupesh Kumar Srivastava

CoRR, 2022

Reward-Weighted Regression Converges to a Global Optimum.

Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022