Reward-Weighted Regression Converges to a Global Optimum. - Miroslav Strupl; Francesco Faccio; Dylan R. Ashley; Rupesh Kumar Srivastava; Jürgen Schmidhuber (AAAI, 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)

Highway Reinforcement Learning. - Yuhui Wang 004; Miroslav Strupl; Francesco Faccio; Qingyuan Wu; Haozhe Liu; Michal Grudzien; Xiaoyang Tan; Jürgen Schmidhuber (CoRR, 2024)

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, 2025)

Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning. - Ardian Selmonaj; Miroslav Strupl; Oleg Szehr; Alessandro Antonucci 001 (CoRR, 2025)