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Learning to Perceive and Act by Trial and Error
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Outgoing claims: the papers this work cites, builds on, or argues with.
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ON BECOMING REACTIVE
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First Results with Dyna, an Integrated Architecture for Learning, Planning and Reacting
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EMBODIED CATEGORIZATION**Work on this chapter was supported by funding from the SSHRC and FCAR/FQRSC agencies. The authors wish to thank them.
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Fuzzy classifier system for edge detection
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Reinforcement learning under incomplete perception using stochastic gradient ascent and recurrent neural networks
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Learning from interaction with the environment using a situation-operator calculus with application to mobile robots
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Reinforcement learning in continuous state space with perceptual aliasing by using complex-valued RBF network
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External Visual Memory with Autoencoder-Based Intrinsic Motivation for Reinforcement Learning Under Partial Observability
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Recurrent neural networks for reinforcement learning: architecture, learning algorithms and internal representation
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Totally model-free reinforcement learning by actor-critic Elman networks in non-Markovian domains
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A performance comparison of TRACA - an incremental on-line learning algorithm
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Emergence of tool use in an articulated limb controlled by evolved neural circuits
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Dynamical analysis of recurrent neural circuits in articulated limb controllers for tool use
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Improved Stochastic Synapse Reinforcement Learning for Continuous Actions in Sharply Changing Environments
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Problems and solutions in acquisition and interpretation of sensorial data on a mobile robot
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Symbolic Task Compression in Structured Task Learning
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Implementation of real time spatial mapping in robotic systems through self-organizing neural networks
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The fuzzy classifier system using the implicit bucket brigade algorithm
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Incremental learning of subtasks from unsegmented demonstration
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On-line semantic perception using uncertainty
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Locally weighted least squares policy iteration for model-free learning in uncertain environments
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Active Bayesian perception and reinforcement learning
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Accelerating Goal-Directed Reinforcement Learning by Model Characterization
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Learning-based control of preception for mobility
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Incremental state acquisition for Q-learning by adaptive Gaussian soft-max neural network
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Parallel Neural Network Structures for Signal-to-Noise Ratio Estimation in Optical Fiber Communication Systems
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A Neural Network-Based Feature Learning and Processing to Estimate Signal-to-Noise Ratio in Coherent Optical Fiber Systems
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Gaze-Based Dual Resolution Deep Imitation Learning for High-Precision Dexterous Robot Manipulation
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Evaluation of genetic-fuzzy systems in the configuration space
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Enhanced Signal-to-Noise Ratio Estimation in Optical Fiber Communications: A Pilot-Based Approach
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Navigational support for robotic wheelchair platforms: an approach that combines vision and range sensors
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Actor-Q based active perception learning system
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Comparing exploration strategies for Q-learning in random stochastic mazes
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Stochastic synapse reinforcement learning (SSRL)
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Ecological Active Vision: Four Bioinspired Principles to Integrate Bottom–Up and Adaptive Top–Down Attention Tested With a Simple Camera-Arm Robot
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Deep Reinforcement Learning-Based Approach for Efficient and Reliable Droplet Routing on MEDA Biochips
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Frames-of-Reference-Based Learning: Overcoming Perceptual Aliasing in Multistep Decision-Making Tasks
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Exploiting Generalization in the Subspaces for Faster Model-Based Reinforcement Learning
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Learning Manipulation Skills via Hierarchical Spatial Attention
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Are People Successful at Learning Sequences of Actions on a Perceptual Matching Task?
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Selective visual attention in object detection processes
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Space is a latent sequence: A theory of the hippocampus
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LEARNING TO BEHAVE IN SPACE: A QUALITATIVE SPATIAL REPRESENTATION FOR ROBOT NAVIGATION WITH REINFORCEMENT LEARNING
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Utile distinction hidden Markov models
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Interactive learning of mappings from visual percepts to actions
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Dyna, an integrated architecture for learning, planning, and reacting
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Efficient reinforcement learning
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Agente topológico de aprendizado por reforço
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Evolution of Cooperative Problem Solving in an Artificial Economy
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Memory Representations in Natural Tasks
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Online Learning of Single- and Multivalued Functions with an Infinite Mixture of Linear Experts
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Histogram of Oriented Uniform Patterns for robust place recognition and categorization
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Anticipations Control Behavior: Animal Behavior in an Anticipatory Learning Classifier System
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Evolution and Learning: Evolving Sensors in a Simple MDP Environment
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A Hierarchical Network of Provably Optimal Learning Control Systems: Extensions of the Associative Control Process (ACP) Network
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Anytime Learning and Adaptation of Structured Fuzzy Behaviors
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How network monitoring and reinforcement learning can improve tcp fairness in wireless multi-hop networks
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VISUAL DETECTION OF INDEPENDENT 3D MOTION BY A MOVING OBSERVER
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Reward Maximization Justifies the Transition from Sensory Selection at Childhood to Sensory Integration at Adulthood
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Intentional Learning Vs Incidental Learning
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Probabilistic Discriminative Models address the Tactile Perceptual Aliasing Problem
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