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Developmental Learning
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
PreND: Enhancing Intrinsic Motivation in Reinforcement Learning through Pre-trained Network Distillation
Toward Universal and Interpretable World Models for Open-ended Learning Agents
Bootstrapping Developmental AIs: From Simple Competences to Intelligent Human-Compatible AIs
Continual Developmental Neurosimulation Using Embodied Computational Agents
Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution
Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring Rotors
ELSIM: End-to-end learning of reusable skills through intrinsic motivation
Braitenberg Vehicles as Developmental Neurosimulation
Growing a Brain: Fine-Tuning by Increasing Model Capacity
A Deep Neural Model Of Emotion Appraisal
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.