Cross-skeleton motion generation trains generative models to carry action structure and motion intention from one body to another. Yet a target motion that shows the right action has two explanations that the training data cannot tell apart: the model transferred the source clip, or it recovered a typical motion for th...
Zhi-Yuan Li, Wen-Yan Yang, Pekka Marttinen et al.· 0 citations
Recent advances in neural network design are integrated: observation and feature normalization, weight normalization, and modeling of distributional returns with an entropy-regularized MORL algorithm, demonstrating that these changes substantially improve the quality of the produced solution sets without requiring majo...
Adam Štafa, Santeri Heiskanen, Petr Novotný et al.· 0 citations
This work investigates the impact of temporal consistency in latent space on task representation learning, showing that enforcing multi-step predictions in latent space encourages task representations that are able to capture task-dependent dynamics while preventing representation collapse.
Mohammadreza Nakheai, Aidan Scannell, K. Luck et al.· 0 citations
This paper proposes SUccessor-to-Novelty (SUN), an indicator derived from successor value functions to identify goals that are both novel and reachable and presents an adaptive goal-selection strategy that leverages these properties, and an accurate yet lightweight pseudocount to avoid the overhead of classic methods.
Wen-Yan Yang, A. Mustafin, Dominik Baumann et al.· 0 citations
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