NDLI: Learning from Demonstration for Distributed, Encapsulated Evolution of Autonomous Outdoor Robots

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Genetic Programming: A Tutorial Introduction

Constraint-Handling Techniques used with Evolutionary Algorithms

Medical Applications of Evolutionary Computation

Rapid Evolution of Robot Gaits

GI4GI: Improving Genetic Improvement Fitness Functions

Coevolutionary Agent-based Network Defense Lightweight Event System (CANDLES)

MeGASS: Multi-Objective Genetic Active Site Search

Spatial and Temporal Visualisation of Evolutionary Algorithm Decisions in Water Distribution Network Optimisation

A Novel Representation of Classifier Conditions Named Sensory Tag for the XCS in Multistep Problems

A Comparison of Genetic Programming Variants for Hyper-Heuristics

An Extensible JCLEC-based Solution for the Implementation of Multi-Objective Evolutionary Algorithms

Benchmarking IPOP-CMA-ES-TPA and IPOP-CMA-ES-MSR on the BBOB Noiseless Testbed

Differential Evolution with a Repair Method to Solve Dynamic Constrained Optimization Problems

The Cost of Communication: Environmental Pressure and Survivability in mEDEA

Metaheuristic Design Pattern: Preference

Introducing Semantic-Clustering Selection in Grammatical Evolution

Feature Set Optimization for Physical Activity Recognition Using Genetic Algorithms

Landscape Properties of the 0-1 Knapsack Problem

Evolutionary Computation: A Unified Approach

Blind No More: Constant TimeNon-Random Improving Moves and Exponentially Powerful Recombination

Automatic (Offline) Configuration of Algorithms

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Evolutionary Approximation of Software for Embedded Systems: Median Function

Using Genetic Algorithms for Deadline-Constrained Monitor Selection in Dynamic Computer Networks

Combination of Differential Evolution and Fragment-based Replacements for Protein Structure Prediction

ELICIT: Evolutionary Computation Visualization

The Relationship Between (Un)Fractured Problems and Division of Input Space

Hyper-Heuristics: A Study On Increasing Primitive-Space

Redesigning the jMetal Multi-Objective Optimization Framework

Benchmarking Gaussian Processes and Random Forests Surrogate Models on the BBOB Noiseless Testbed

Exploiting the Relationship Between Structural Modularity and Sparsity for Faster Network Evolution

Embodied Evolution for Collective Indoor Surveillance and Location

Metaheuristic Design Pattern: Surrogate Fitness Functions

Wave: Incremental Erosion of Residual Error

Classification of Two-channel Signals by Means of Genetic Programming

Grammatical Evolution for Identifying Wikipedia Taxonomies

Tutorial on Evolutionary Multiobjective Optimization

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Intelligent Systems for Smart Cities

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NK Landscape Instances Mimicking the Protein Inverse Folding Problem Towards Future Benchmarks

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A Lexicographic Multi-Objective Genetic Algorithm for Multi-Label Correlation Based Feature Selection

Synthesis of Parallel Iterative Sorts with Multi-Core Grammatical Evolution

Simplifying Problem Definitions in the HeuristicLab Optimization Environment

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Selection of Auxiliary Objectives with Multi-Objective Reinforcement Learning

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Greedy Semantic Local Search for Small Solutions

Data-Based Identification of Prediction Models for Glucose

Criteria and Convergence Rates in Noisy Optimization

Particle Swarm Optimization

Parameterized Complexity Analysis of Evolutionary Algorithms

Low or no cost distributed evolutionary computation

Various Degrees of Steadiness in NSGA-II and Their Influence on the Quality of Results

Grow and Graft a Better CUDA pknotsRG for RNA Pseudoknot Free Energy Calculation

A Preliminary Investigation on the Identification of Peer to Peer Network Applications

Mapping Multiple Minima in Protein Energy Landscapes with Evolutionary Algorithms

Visualising Multi-objective Populations with Treemaps

Metaheuristics based on Clustering in a Holonic Multiagent Model for the Flexible Job Shop Problem

Generating Human-readable Algorithms for the Travelling Salesman Problem using Hyper-Heuristics

AntElements: An Extensible and Scalable Ant Colony Optimization Middleware

The Impact of Initial Designs on the Performance of MATSuMoTo on the Noiseless BBOB-2015 Testbed: A Preliminary Study

A Computational Comparison of Memetic Differential Evolution Approaches

Evolving Diverse Collective Behaviors Independent of Swarm Density

Two-B or not Two-B?: Design Patterns for Hybrid Metaheuristics

Comparison of Semantic-aware Selection Methods in Genetic Programming

A Symbolic Regression Based Scoring System Improving Peptide Identifications for MS Amanda

A Combinatorial Genetic Algorithm for Computational Doping based Material Design

Model-Based Evolutionary Algorithms

Theory of Swarm Intelligence

Synergies between Evolutionary Algorithms and Reinforcement Learning

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locoGP: Improving Performance by Genetic Programming Java Source Code

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An Experimental Analysis of the Performance of SideChain Packing Algorithms

Discovering Regression Rules with Ant Colony Optimization

Learning Genetic Representations for Classes of Real-Valued Optimization Problems

Designing and Modeling a Browser-Based DistributedEvolutionary Computation System

Inferring Temporal Properties of Finite-State Machine Models with Genetic Programming

Elements of Embodied Evolutionary Robotics

Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box Optimization

Runtime Analysis of Evolutionary Algorithms: Basic Introduction

Evolutionary Image Analysis, Signal Processing and Pattern Recognition

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Generative and Developmental Systems Tutorial

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Evaluation-Time Bias in Asynchronous Evolutionary Algorithms

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Solving Euclidean Steiner Tree Problems with Multi Swarm Optimization

An Improved Artificial Fish Swarm Algorithm in Image Segmentation application

Learning from Demonstration for Distributed, Encapsulated Evolution of Autonomous Outdoor Robots

Optimizing Performance of L1 Cache Memory for Embedded Systems driven by Differential Evolution

A Multi-objective Evolutionary Algorithm for Rule-based Performance Optimization at Software Architecture Level

Performance Comparison of Ant Colony Algorithms for the Scheduling of Steel Production Lines

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A Multimodal Optimization and Surprise Based Consensus Community Detection Algorithm

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A Comparative Study Use of OTL for Many-objective Optimization

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A Search Based Approach Towards Robust Optimization in Software Product Line Scoping

Enhancing Incremental Ant Colony Algorithm for Continuous Global Optimization

Renumber Coevolutionary Multiswarm Particle Swarm Optimization for Multi-objective Workflow Scheduling on Cloud Computing Environment

When Hillclimbers Beat Genetic Algorithms in Multimodal Optimization

Multi-objective Optimization of Sensor Placement to Detect Contamination in Water Distribution Networks

Heuristic Search by Particle Swarm Optimization of Boolean Functions for Cryptographic Applications

Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms

Asynchronous Parallel Evolutionary Algorithms: Leveraging Heterogeneous Fitness Evaluation Times for Scalability and Elitist Parsimony Pressure

Estimating and Predicting Average Likability on Computer-Generated Artwork Variants

Handling Crossover Bias to Improve Diversity in Multiobjective Evolutionary Optimization

Wave: A Genetic Programming Approach to Divide and Conquer

MOGCLA: A Multi-Objective Genetic Clustering Algorithm for Large Data Analysis.

A Reliable and Computationally Cheap Approach for Finding Robust Optimal Solutions

Avoiding Overfitting in Symbolic Regression Using the First Order Derivative of GP Trees

Fast Pareto Front Approximation for Cloud Instance Pool Optimization

Using Novelty-Biased GA to Sample Diversity in Graphs Satisfying Constraints

Social Specialization of Space: Clustering Households on the French Riviera

On the Model Selection of Bernoulli Restricted Boltzmann Machines Through Harmony Search

A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling

Imbalanced Classification Using Genetically Optimized Random Forests

Selection of Auxiliary Objectives in the Travelling Salesman Problem using Reinforcement Learning

Cartesian Genetic Programming Approach for Generating Substitution Boxes of Different Sizes

Denoising Autoencoders for Fast Combinatorial Black Box Optimization

On the Uselessness of Finite Benchmarks to Assess Evolutionaryand Swarm Methods

Explanation of Stagnation at Points that are not Local Optima in Particle Swarm Optimization by Potential Analysis

Exploiting Evolutionary Computation in an Industrial Flow for the Development of Code-Optimized Microprocessor Test Programs

A Collaborative Strategy to Reduce Initial Setup Requirements of ParamILS using EvoCa

Using Anti-pheromone to Identify Core Objects for Multidimensional Knapsack Problems: A Two-step Ants based Approach

Evolving Neurocontrollers for the Control of Information Diffusion in Social Networks

Evolutionary Cross-Domain Hyper-Heuristics

Grid Diversity Operator for Some Population-Based Optimization Algorithms

Multi-objective NM-Landscapes

An Algebraic Differential Evolution for the Linear Ordering Problem

Potential-Field-Based Unit Behavior Optimization for Balancing in StarCraft II

Momentum Enhanced Neuroevolution

A Novel Heuristic Generator for JSSP Using a Tree-Based Representation of Dispatching Rules

Pyramidal Neural Networks with Variable Receptive Fields Designed by Genetic Algorithms

A Hybrid Particle Swarm Optimization for Solving Vehicle Routing Problem with Time Windows

Evolutionary Search for An Accurate Contour Segmentation in Histopathological Images

A Note on Multi-Funnel Functions for Expensive Optimization Scenario

An Effective Approach for Adapting the Size of Subcomponents in Large-Scale Optimization with Cooperative Coevolution

A Grid-facilitated AIS-based Network Scheme for Many-objective Optimization

Recurrent Cartesian Genetic Programming Applied to Series Forecasting

Automatic Tuning of Standard PSO Versions

Multi-Modal Employee Routing with Time Windows in an Urban Environment

Evolutionary Approximation of Complex Digital Circuits

Classifying Maritime Vessels from Satellite Imagery with HyperNEAT

Impact of Speciation Heuristic on Crossover and Search in NEAT

Dimensionality Reduction in Many-objective Problems Combining PCA and Spectral Clustering

Crowdseeding Robot Design

A Dimension-Decreasing Particle Swarm Optimization Method for Portfolio Optimization

Efficient Sampling with Small Populations: a Genetic Algorithm Satisfying Detailed Balance

Software System for Container Vessel Stowage Planning using Genetic Algorithm

The Programming Game: Evaluating MCTS as an Alternative to GP for Symbolic Regression

Enable the XCS to Dynamically Learn Multiple Problems: A Sensor Tagging Approach

Complete Multi-Objective Coverage with PaCcET

Model Selection and Overfitting in Genetic Programming: Empirical Study

Learning from Demonstration for Distributed, Encapsulated Evolution of Autonomous Outdoor Robots

Content Provider	ACM Digital Library
Author	DeVautl, Travis Tanimoto, Ian Soule, Terence Forrest, Seth Heckendorn, Robert
Abstract	In learning from demonstration (LfD) a human trainer demonstrates desired behaviors to a robotic agent, creating a training set that the agent can learn from. LfD allows non-programmers to easily and naturally train robotic agents to perform specific tasks. However, to date most LfD has focused on single robot, single trainer paradigms leading to bottlenecks in both the time required to demonstrate tasks and the time required to learn behaviors. A previously untested, approach to addressing these limitations is to use distributed LfD with a distributed, evolutionary algorithm. Distributed on-board learning is a model for robust real world learning without the need for a central computer. In the distributed LfD system presented here multiple trainers train multiple robots on different, but related, tasks in parallel and each robot runs its own on-board evolutionary algorithm. The robots share the training data, reducing the total time required for demonstrations, and exchange promising individuals as in typical island models. These experiments compare robotic performance on a task after distributing the behaviors or the simple demonstrations to performance using a non-distributed LfD model receiving complex demonstrations. Our results show a strong improvement to behavior when using distributed simple demonstrations.
Starting Page	1381
Ending Page	1382
Page Count	2
File Format	PDF
ISBN	9781450334884
DOI	10.1145/2739482.2764721
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-07-11
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Evolutionary computation Learning from demonstration Robots
Content Type	Text
Resource Type	Article

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