11 citations · 25 across the 14 of their papers we have counts for
3 papers · 1 filter
Progress Constraints for Reinforcement Learning in Behavior Trees
Finn Rietz, Mart Kartašev, Petter Ögren +1
Behavior Trees (BTs) provide a structured and reactive framework for decision-making, commonly used to switch between sub-controllers based on environmental conditions. Reinforceme…
Diversity for Contingency: Learning Diverse Behaviors for Efficient Adaptation and Transfer
Finn Rietz, Johannes Andreas Stork
Discovering all useful solutions for a given task is crucial for transferable RL agents, to account for changes in the task or transition dynamics. This is not considered by classi…
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
Finn Rietz, Erik Schaffernicht, Stefan Heinrich +1
Reinforcement learning (RL) for complex tasks remains a challenge, primarily due to the difficulties of engineering scalar reward functions and the inherent inefficiency of trainin…