Autonomous Learning of High-Level States and Actions in Continuous Environments

No abstract is available for this paper.

• Publication year

  2012

• Venue

  IEEE Transactions on Autonomous Mental Development

• Publication date

  2012-03-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/TAMD.2011.2160943
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Reinforcement learning

  2019cited by this paper
• Benjamin

  2013cited by this paper
• Markov Decision Problems

  2013cited by this paper
• Autonomous qualitative learning of distinctions and actions in a developing agent

  2010influential reference
• Intrinsically Motivated Hierarchical Skill Learning in Structured Environments

  2010cited by this paper
• Towards the Object Semantic Hierarchy

  2010cited by this paper
• A comparison of strategies for developmental action acquisition in QLAP

  2009cited by this paper
• Grid-based SensorDCSP

  2009cited by this paper
• Generalized model learning for reinforcement learning in factored domains

  2009cited by this paper
• Autonomous Hierarchical Skill Acquisition in Factored MDPs

  2008cited by this paper
• Robotic Grasping of Novel Objects using Vision

  2008cited by this paper
• Active Learning of Dynamic Bayesian Networks in Markov Decision Processes

  2007cited by this paper
• Learning Distinctions and Rules in a Continuous World through Active Exploration

  2007cited by this paper
• Learning Symbolic Models of Stochastic Domains

  2007cited by this paper
• Efficient Structure Learning in Factored-State MDPs

  2007cited by this paper
• Learning to predict the effects of actions: Synergy between rules and landmarks

  2007cited by this paper
• Towards the Application of Reinforcement Learning to Undirected Developmental Learning

  2007cited by this paper
• Robotic Grasping of Novel Objects

  2006cited by this paper
• Learning the structure of Factored Markov Decision Processes in reinforcement learning problems

  2006cited by this paper
• Self-Taught Visually-Guided Pointing for a Humanoid Robot

  2006cited by this paper
• Causal Graph Based Decomposition of Factored MDPs

  2006cited by this paper
• Learning acceptable windows of contingency

  2006cited by this paper
• Incremental Skill Acquisition for Self-motivated Learning Animats

  2006cited by this paper
• Incremental Online Learning in High Dimensions

  2005cited by this paper
• Learning Planning Rules in Noisy Stochastic Worlds

  2005cited by this paper
• An Emergent Framework For Self-Motivation In Developmental Robotics

  2004cited by this paper
• Early integration of vision and manipulation

  2003cited by this paper
• Better Vision through Manipulation

  2003cited by this paper
• Learning about objects through action - initial steps towards artificial cognition

  2003cited by this paper
• Discovering Hierarchy in Reinforcement Learning with HEXQ

  2002cited by this paper
• A pick-me-up for infants’ exploratory skills: Early simulated experiences reaching for objects using ‘sticky mittens’ enhances young infants’ object exploration skills

  2002cited by this paper
• Novelty and Reinforcement Learning in the Value System of Developmental Robots

  2002cited by this paper
• R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning

  2001cited by this paper
• Locally Weighted Projection Regression : An O(n) Algorithm for Incremental Real Time Learning in High Dimensional Space

  2000cited by this paper
• RRT-connect: An efficient approach to single-query path planning

  2000cited by this paper
• Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning

  1999cited by this paper
• Decision-Theoretic Planning: Structural Assumptions and Computational Leverage

  1999cited by this paper
• The MAXQ Method for Hierarchical Reinforcement Learning

  1998cited by this paper
• Reinforcement learning

  1998cited by this paper
• Locally Weighted Learning for Control

  1997cited by this paper
• Locally Weighted Learning

  1997cited by this paper
• Neo: learning conceptual knowledge by sensorimotor interaction with an environment

  1997cited by this paper
• Emergent Hierarchical Control Structures: Learning Reactive/Hierarchical Relationships in Reinforcement Environments

  1996cited by this paper
• Map Learning with Uninterpreted Sensors and Effectors

  1995cited by this paper
• Qualitative Reasoning

  1994cited by this paper
• Markov Decision Processes: Discrete Stochastic Dynamic Programming

  1994cited by this paper
• Autonomous learning from the environment

  1994cited by this paper
• Forward Models: Supervised Learning with a Distal Teacher

  1992cited by this paper
• On the Handling of Continuous-Valued Attributes in Decision Tree Generation

  1992cited by this paper
• Made-Up Minds: A Constructivist Approach to Artificial Intelligence

  1991cited by this paper
• Curious model-building control systems

  1991cited by this paper
• Human Motor Development: A Lifespan Approach

  1987cited by this paper
• Qualitative Reasoning

  1987cited by this paper
• Principles of Artificial Intelligence

  1980cited by this paper
• Pattern Classification

  1973cited by this paper
• Plans and the Structure of Behavior

  1968cited by this paper
• Plans and the structure of behavior

  1960cited by this paper
• This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 1 Intrinsic Motivation Systems for Autonomous Mental Development

  year unknowncited by this paper

• On Learning Scene-aware Generative State Abstractions for Task-level Mobile Manipulation Planning

  2024cites this paper
• World models and predictive coding for cognitive and developmental robotics: frontiers and challenges

  2023cites this paper
• Process of Learning from Demonstration with Paraconsistent Artificial Neural Cells for Application in Linear Cartesian Robots

  2023cites this paper
• Automatic encoding and repair of reactive high-level tasks with learned abstract representations

  2022cites this paper
• From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence

  2021cites this paper
• State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric

  2021cites this paper
• Learning to Control a Quadcopter Qualitatively

  2020cites this paper
• DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics

  2020cites this paper
• Adaptable and Verifiable BDI Reasoning

  2020cites this paper
• On The Necessity of Abstraction.

  2019cites this paper
• Ostensive-Cue Sensitive Learning and Exclusive Evaluation of Policies: A Solution for Measuring Contingency of Experiences for Social Developmental Robot

  2019cites this paper
• A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms

  2019cites this paper
• Learning Robust Manipulation Strategies with Multimodal State Transition Models and Recovery Heuristics

  2019cites this paper
• Fast online model learning for controlling complex real-world robots

  2019cites this paper
• Action Generation Adapted to Low-Level and High-Level Robot-Object Interaction States

  2019cites this paper
• Partitioning Sensorimotor Space by Predictability Principle in Intrinsic Motivation Systems

  2018cites this paper
• From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning

  2018cites this paper
• Autonomous and Online Generation of Skills Inferring Actions Adapted to Low-Level and High-Level Contextual States. (Génération autonome et en ligne de compétences déduisant des actions adaptées aux états contextuels de bas niveau et de haut niveau)

  2018cites this paper
• Symbol Emergence in Cognitive Developmental Systems: A Survey

  2018cites this paper
• Bootstrapping Relational Affordances of Object Pairs Using Transfer

  2018cites this paper
• Action representations in robotics: A taxonomy and systematic classification

  2018cites this paper
• What Can This Robot Do? Learning Capability Models from Appearance and Experiments

  2018cites this paper
• Learning to Grasp by Extending the Peri-Personal Space Graph

  2018cites this paper
• Model-free, Model-based, and General Intelligence

  2018cites this paper
• Sign Object Interpretant Symbol Reference ( Signifier ) Referent ( Signified ) “ Apple ”

  2018cites this paper
• Bootstrapping $Q$ -Learning for Robotics From Neuro-Evolution Results

  2018influential citation
• Affordances in Psychology, Neuroscience, and Robotics: A Survey

  2018cites this paper
• Positioning by Road Feature Correspondence

  2018cites this paper
• Toward Lifelong Affordance Learning Using a Distributed Markov Model

  2018influential citation
• What Can This Robot Do? Learning from Appearance and Experiments

  2017cites this paper
• Physical reasoning for intelligent agents in simulated environments

  2017cites this paper
• A Joint Learning Framework of Visual Sensory Representation, Eye Movements and Depth Representation for Developmental Robotic Agents

  2017cites this paper
• Grounding the experience of a visual field through sensorimotor contingencies

  2017cites this paper
• Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots

  2017cites this paper
• On decomposability in robot reinforcement learning

  2017cites this paper
• Inferring Capabilities by Experimentation

  2017cites this paper
• Intrinsically Motivated Acquisition of Modular Slow Features for Humanoids in Continuous and Non-Stationary Environments

  2017cites this paper
• Emergent Structuring of Interdependent Affordance Learning Tasks Using Intrinsic Motivation and Empirical Feature Selection

  2017cites this paper
• Learning modular and transferable forward models of the motions of push manipulated objects

  2016cites this paper
• Research on English Autonomous Learning and Teaching Mode Based on Internet

  2016cites this paper
• A social networking-enabled framework for autonomous robot skill development

  2016cites this paper
• Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics

  2016cites this paper
• Coupled learning of action parameters and forward models for manipulation

  2016cites this paper
• Toward Self-Referential Autonomous Learning of Object and Situation Models

  2016cites this paper
• Social Skill Acquisition Model through Face-to-Face Interaction: Local Contingency for Open-Ended Development

  2016cites this paper
• Research on Web-based Autonomous English Learning of Engineering Students

  2016cites this paper
• Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis

  2016cites this paper
• Bootstraping manipulation skills to learn affordances in open-ended environments

  2016cites this paper
• Experience-Based Robot Task Learning and Planning with Goal Inference

  2016cites this paper
• A basic Growing Functional Modules “artificial brain”

  2015cites this paper
• Symbol Acquisition for Probabilistic High-Level Planning

  2015cites this paper
• Bootstrapping interactions with objects from raw sensorimotor data: A novelty search based approach

  2015cites this paper
• A Growing Functional Modules Learning Based Controller Designed to Balance of a Humanoid Robot on One Foot

  2015cites this paper
• Machine Learning for Robot Grasping and Manipulation

  2015cites this paper
• Autonomous Depth Perception of Humanoid Robot Using Binocular Vision System Through Sensorimotor Interaction with Environment

  2015cites this paper
• Towards learning hierarchical skills for multi-phase manipulation tasks

  2015cites this paper
• Planning with Activity Schemata: Closing the Loop in Experience-Based Planning

  2015cites this paper
• Autonomously Learning About Meaningful Actions from Exploratory Behaviour

  2015cites this paper
• Constructing Abstraction Hierarchies Using a Skill-Symbol Loop

  2015cites this paper
• Universal Memory Architectures for Autonomous Machines

  2015influential citation
• A basic Growing Functional Modules "artificial brain"

  2015cites this paper
• A Multi-Strategy Architecture for On-Line Learning of Robotic Behaviours using Qualitative Reasoning

  2015cites this paper
• Software Agents with Concerns of their Own

  2015cites this paper
• Bottom-up learning of object categories, action effects and logical rules: From continuous manipulative exploration to symbolic planning

  2015cites this paper
• Refining discovered symbols with multi-step interaction experience

  2015cites this paper
• A Simplified Cerebellar Model with Priority-based Delayed Eligibility Trace Learning for Motor Control

  2015cites this paper
• Qualitative Planning of Object Pushing by a Robot

  2015cites this paper
• Research and Design of Web-Based Autonomous and Collaborative Teaching Mode under Blended Learning

  2014cites this paper
• The application of top-down abstraction learning using prediction as a supervisory signal to cyber security

  2014cites this paper
• Extracting kinematic background knowledge from interactions using task-sensitive relational learning

  2014cites this paper
• Constructing Symbolic Representations for High-Level Planning

  2014cites this paper
• Explore to see, learn to perceive, get the actions for free: SKILLABILITY

  2014cites this paper
• Curiosity driven reinforcement learning for motion planning on humanoids

  2014cites this paper
• Gathering and Conceptualizing Plan-Based Robot Activity Experiences

  2014cites this paper
• Model-based hierarchical reinforcement learning and human action control

  2014cites this paper
• Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours

  2014cites this paper
• A Two-Phase Dispatch Heuristic to Schedule the Movement of Multi-Attribute Mobile Sensors in a Hybrid Wireless Sensor Network

  2014cites this paper
• Knowledge Extraction from Learning Traces in Continuous Domains

  2014cites this paper
• QML-Morven: A novel framework for learning qualitative differential equation models using both symbolic and evolutionary approaches

  2014cites this paper
• A Survey of the Ontogeny of Tool Use: From Sensorimotor Experience to Planning

  2013cites this paper
• Symbol Acquisition for Task-Level Planning

  2013cites this paper
• Planning with Qualitative Models for Robotic Domains

  2013cites this paper
• Autonomous Representation Learning in a Developing Agent

  2013cites this paper
• Learning Integrated Relational and Continuous Action Models for Continuous Domains

  2013cites this paper
• Top-Down Abstraction Learning Using Prediction as a Supervisory Signal

  2013cites this paper
• An intrinsic value system for developing multiple invariant representations with incremental slowness learning

  2013cites this paper
• PROTECTING CYBER SYSTEMS THROUGH LEARNED CAUSAL MODELS 2 . 1 Learning Causal Models

  2013cites this paper
• Autonomous and Interactive Improvement of Binocular Visual Depth Estimation through Sensorimotor Interaction

  2013cites this paper
• A developmental approach to learning causal models for cyber security

  2013cites this paper
• Towards Supervised Acquisition of Robot Activity Experiences : an Ontology-based Approach

  2013cites this paper
• Recognition and Representation of Robot Skills in Real Time: A Theoretical Analysis

  2013cites this paper
• Computational Conceptual Change: An Explanation-Based Approach

  2012cites this paper
• Toward Higher-Order Qualitative Representations

  2012cites this paper
• Learning Qualitative Models by Demonstration

  2012cites this paper
• Learning object relationships which determine the outcome of actions

  2012cites this paper
• Learning tactile skills through curious exploration

  2012cites this paper
• Integration of Online Learning into HTN Planning for Robotic Tasks

  2012cites this paper
• Perception and human interaction for developmental learning of objects and affordances

  2012cites this paper
• A FRAMEWORK FOR RECOGNIZING AND EXECUTING VERB PHRASES by

  2011cites this paper
• A framework for recognizing and executing verb phrases

  2011cites this paper