Papers Developmental Learning
“Developmental Learning” 태그가 달린 논문 13편 · 필터 해제
Life, uh, Finds a Way: Systematic Neural Search
We tackle the challenge of rapidly adapting an agent's behavior to solve spatiotemporally continuous problems in novel settings. Animals exhibit extraordinary abilities to adapt to new contexts, a capacity unmatched by a…
Deep Reinforcement LearningDevelopmental LearningPreND: Enhancing Intrinsic Motivation in Reinforcement Learning through Pre-trained Network Distillation
Intrinsic motivation, inspired by the psychology of developmental learning in infants, stimulates exploration in agents without relying solely on sparse external rewards. Existing methods in reinforcement learning like R…
Developmental Learningreinforcement-learningReinforcement LearningReinforcement Learning (RL)Toward Universal and Interpretable World Models for Open-ended Learning Agents
We introduce a generic, compositional and interpretable class of generative world models that supports open-ended learning agents. This is a sparse class of Bayesian networks capable of approximating a broad range of sto…
Developmental LearningBootstrapping 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. Both approaches have led to valuable AI systems and impressi…
Board GamesCommon Sense ReasoningDevelopmental LearningImitation Learning+2Continual Developmental Neurosimulation Using Embodied Computational Agents
There is much to learn through synthesis of Developmental Biology, Cognitive Science and Computational Modeling. Our path forward involves a design for developmentally-inspired learning agents based on Braitenberg Vehicl…
Active LearningContinual LearningDevelopmental LearningWiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream
After training on large datasets, certain deep neural networks are surprisingly good models of the neural mechanisms of adult primate visual object recognition. Nevertheless, these models are poor models of the developme…
Developmental LearningObject RecognitionMorphological Development at the Evolutionary Timescale: Robotic Developmental Evolution
Evolution and development operate at different timescales; generations for the one, a lifetime for the other. These two processes, the basis of much of life on earth, interact in many non-trivial ways, but their temporal…
Developmental LearningDevelopmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring Rotors
In this paper, we present a novel developmental reinforcement learning-based controller for a quadcopter with thrust vectoring capabilities. This multirotor UAV design has tilt-enabled rotors. It utilizes the rotor force…
Developmental LearningDrone ControllerGeneral Reinforcement Learningreinforcement-learning+1ELSIM: End-to-end learning of reusable skills through intrinsic motivation
Taking inspiration from developmental learning, we present a novel reinforcement learning architecture which hierarchically learns and represents self-generated skills in an end-to-end way. With this architecture, an age…
Developmental LearningMuJoCoTransfer LearningBraitenberg Vehicles as Developmental Neurosimulation
Connecting brain and behavior is a longstanding issue in the areas of behavioral science, artificial intelligence, and neurobiology. As is standard among models of artificial and biological neural networks, an analogue o…
Developmental LearningGrowing a Brain: Fine-Tuning by Increasing Model Capacity
CNNs have made an undeniable impact on computer vision through the ability to learn high-capacity models with large annotated training sets. One of their remarkable properties is the ability to transfer knowledge from a …
Developmental LearningA Deep Neural Model Of Emotion Appraisal
Emotional concepts play a huge role in our daily life since they take part into many cognitive processes: from the perception of the environment around us to different learning processes and natural communication. Social…
Developmental LearningmodelIntrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
Intrinsically motivated spontaneous exploration is a key enabler of autonomous developmental learning in human children. It enables the discovery of skill repertoires through autotelic learning, i.e. the self-generation,…
Developmental LearningMulti-Goal Reinforcement LearningReinforcement LearningSelf-Supervised Learning