Exploring action-oriented models via active inference for autonomous vehicles
Being able to robustly interact with and navigate a dynamic environment has been a long-
standing challenge in intelligent transportation systems. Autonomous agents can use …
standing challenge in intelligent transportation systems. Autonomous agents can use …
Predictive coding, precision and natural gradients
There is an increasing convergence between biologically plausible computational models of
inference and learning with local update rules and the global gradient-based optimization of …
inference and learning with local update rules and the global gradient-based optimization of …
[PDF][PDF] Distrusting the policy: how inference over action shapes our experience of temporality in flow states and life more broadly
D Parvizi-Wayne - 2024 - researchgate.net
Time is a strikingly bizarre phenomenon. It is both objectively measurable–notwithstanding
relativistic effects-and subjectively felt, and yet it is fundamentally fleeting, in so far as any …
relativistic effects-and subjectively felt, and yet it is fundamentally fleeting, in so far as any …
[PDF][PDF] Learning Multi-Modal Self-Awareness Models Empowered by Active Inference for Autonomous Vehicles.
S Nozari - 2023 - e-archivo.uc3m.es
For autonomous agents to coexist with the real world, it is essential to anticipate the
dynamics and interactions in their surroundings. Autonomous agents can use models of the …
dynamics and interactions in their surroundings. Autonomous agents can use models of the …