Developmental Learning
5 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Developmental Learning
Latest papers with no code
Bootstrapping Developmental AIs: From Simple Competences to Intelligent Human-Compatible AIs
The mainstream AIs approaches are the generative and deep learning approaches with large language models (LLMs) and the manually constructed symbolic approach.
Continual Developmental Neurosimulation Using Embodied Computational Agents
Using these agents to exemplify the embodied nature of computational autonomy, we move closer to modeling embodied experience and morphogenetic growth as components of cognitive developmental capacity.
ELSIM: End-to-end learning of reusable skills through intrinsic motivation
Then we show that our approach can scale on more difficult MuJoCo environments in which our agent is able to build a representation of skills which improve over a baseline both transfer learning and exploration when rewards are sparse.
Braitenberg Vehicles as Developmental Neurosimulation
As is standard among models of artificial and biological neural networks, an analogue of the fully mature brain is presented as a blank slate.
Growing a Brain: Fine-Tuning by Increasing Model Capacity
One of their remarkable properties is the ability to transfer knowledge from a large source dataset to a (typically smaller) target dataset.
