Hector Muñoz-Avila

发表

Diverse Plan Generation by Plan Adaptation and by First-Principles Planning: A Comparative Study

Alexandra Coman, Hector Muñoz-Avila, Hector Muñoz-Avila, 2012, ICCBR.

Applying Goal Driven Autonomy to a Team Shooter Game

David W. Aha, Hector Muñoz-Avila, Ulit Jaidee, 2010, FLAIRS.

HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required

Hector Muñoz-Avila, Ugur Kuter, Chad Hogg, 2008, AAAI.

Reinforcement Learning based Multi-Robot Classification via Scalable Communication Structure pdf

Hector Muñoz-Avila, Nader Motee, Arash Amini, 2020, ArXiv.

SiN: Integrating Case-based Reasoning with Task Decomposition

David W. Aha, Hector Muñoz-Avila, Rosina O. Weber, 2001, IJCAI.

HICAP: An Interactive Case-Based Planning Architecture and its Application to Noncombatant Evacuation Operations

David W. Aha, Hector Muñoz-Avila, Dana S. Nau, 1999, AAAI/IAAI.

Case-based planning

Hector Muñoz-Avila, Ralph Bergmann, Michael T. Cox, 2005, The Knowledge Engineering Review.

Integrating Conversational Case Retrieval with generative Planning

David W. Aha, Hector Muñoz-Avila, Rosina O. Weber, 2000, EWCBR.

Case-Based Goal-Driven Coordination of Multiple Learning Agents

David W. Aha, Hector Muñoz-Avila, Ulit Jaidee, 2013, ICCBR.

Modeling Unit Classes as Agents in Real-Time Strategy Games

Hector Muñoz-Avila, Ulit Jaidee, 2013, AIIDE.

Integrating twofold case retrieval and complete decision replay in CAPlan/CBC

Hector Muñoz-Avila, Hector Muñoz-Avila, 1998 .

IMPACTing SHOP: Putting an AI Planner Into a Multi-Agent Environment

Hector Muñoz-Avila, Dana S. Nau, Lingling Zhang, 2003, Annals of Mathematics and Artificial Intelligence.

Case‐Base Maintenance By Integrating Case‐Index Revision and Case‐Retention Policies in a Derivational Replay Framework

Hector Muñoz-Avila, Hector Muñoz-Avila, 2001, Comput. Intell..

Learning HTN Method Preconditions and Action Models from Partial Observations

Hector Muñoz-Avila, Qiang Yang, Derek Hao Hu, 2009, IJCAI.

Adaptive Goal Driven Autonomy

Hector Muñoz-Avila, Hector Muñoz-Avila, 2018, ICCBR.

Integrated Learning for Goal-Driven Autonomy

David W. Aha, Hector Muñoz-Avila, Ulit Jaidee, 2011, IJCAI.

Learning hierarchical task network domains from partially observed plan traces

Hector Muñoz-Avila, Qiang Yang, Hankui Zhuo, 2014, Artif. Intell..

IAAI-13 Preface

Hector Muñoz-Avila, David J. Stracuzzi, 2013, AAAI.

Active Delivery for Lessons Learned Systems

David W. Aha, Hector Muñoz-Avila, Rosina O. Weber, 2000, EWCBR.

CBM-Gen+: An Algorithm for Reducing Case Base Inconsistencies in Hierarchical and Incomplete Domains

Ke Xu, Hector Muñoz-Avila, 2003, ICCBR.

Feature Weighting by Explaining Case-Based Planning Episodes

Hector Muñoz-Avila, Jochem Hüllen, Hector Muñoz-Avila, 1996, EWCBR.

Case-Based Planning: Selected Methods and Systems

Hector Muñoz-Avila, Manuela M. Veloso, Ralph Bergmann, 1996, AI Commun..

Automatically Acquiring Domain Knowledge For Adaptive Game AI Using Evolutionary Learning

David W. Aha, Hector Muñoz-Avila, Pieter Spronck, 2005, AAAI.

A Case Study on the Mergeability of Cases with a Partial-Order Planner

Hector Muñoz-Avila, Frank Weberskirch, Hector Muñoz-Avila, 1997, ECP.

On the Role of the Cases in Case-Based Planning

Hector Muñoz-Avila, 2003, ICCBR.

A Domain-Independent System for Case-Based Task Decomposition without Domain Theories

Ke Xu, Hector Muñoz-Avila, Hector Muñoz-Avila, 2005, AAAI.

Case-Based Learning of Applicability Conditions for Stochastic Explanations

Hector Muñoz-Avila, Giulio Finestrali, Hector Muñoz-Avila, 2013, ICCBR.

The Special Issue of AI Magazine on Structured Knowledge Transfer

Hector Muñoz-Avila, David J. Stracuzzi, Daniel G. Shapiro, 2011, AI Mag..

Discovering Feature Weights for Feature-based Indexing of Q-tables

Hector Muñoz-Avila, Chad Hogg, Stephen Lee-Urban, 2008, ECCBR Workshops.

Adaptation versus Retrieval Trade-Off Revisited: An Analysis of Boundary Conditions

Hector Muñoz-Avila, Stephen Lee-Urban, 2009, ICCBR.

On the Relation between the Context of a Feature and the Domain Theory in Case-Based Planning

Hector Muñoz-Avila, Thomas Roth-Berghofer, Frank Weberskirch, 1997, ICCBR.

Is Everything Going According to Plan? Expectations in Goal Reasoning Agents

Hector Muñoz-Avila, Dustin Dannenhauer, Noah Reifsnyder, 2019, AAAI.

Learning action models for multi-agent planning

Hector Muñoz-Avila, Qiang Yang, Hankui Zhuo, 2011, AAMAS.

RETALIATE: Learning Winning Policies in First-Person Shooter Games

Hector Muñoz-Avila, Stephen Lee-Urban, Megan Smith, 2007, AAAI.

CaMeL: Learning Method Preconditions for HTN Planning

David W. Aha, Hector Muñoz-Avila, Dana S. Nau, 2002, AIPS.

Knowledge acquisition for adaptive game AI

David W. Aha, Hector Muñoz-Avila, Pieter Spronck, 2007, Sci. Comput. Program..

Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation, Retrieval and Reuse

Hector Muñoz-Avila, Kellen Gillespie, Justin Karneeb, 2010, ICCBR.

CaBMA: a case-based reasoning system for capturing, refining, and reusing project plans

Ke Xu, Hector Muñoz-Avila, Hector Muñoz-Avila, 2008, Knowledge and Information Systems.

Automatically Generating Game Tactics through Evolutionary Learning

David W. Aha, Hector Muñoz-Avila, Pieter Spronck, 2006, AI Mag..

Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning

Hector Muñoz-Avila, Chad Hogg, Stephen Lee-Urban, 2008, ECCBR.

Hierarchical task network planning with resources and temporal constraints

Hector Muñoz-Avila, Dan Wang, Hongwei Wang, 2017, Knowl. Based Syst..

Goal-Driven Autonomy with Case-Based Reasoning

David W. Aha, Hector Muñoz-Avila, Ulit Jaidee, 2010, ICCBR.

Introduction: Interactive Case-Based Reasoning

David W. Aha, Hector Muñoz-Avila, D. Aha, 2001, Applied Intelligence.

Emerging Innovative Applications of Artificial Intelligence 2012

Hector Muñoz-Avila, Markus P. J. Fromherz, 2012, AI Mag..

Case-Based Goal Selection Inspired by IBM's Watson

Hector Muñoz-Avila, Dustin Dannenhauer, Hector Muñoz-Avila, 2013, ICCBR.

The Shop Planning System

Hector Muñoz-Avila, Dana S. Nau, Amnon Lotem, 2001, AI Mag..

Reports on the AAAI 1999 Workshop Program

David W. Aha, Alex Alves Freitas, Miquel Sànchez-Marrè, 2000, AI Mag..

Case-Based Reasoning Integrations

David W. Aha, Hector Muñoz-Avila, Cynthia R. Marling, 2002, AI Mag..

Learning Hierarchical Task Networks for Nondeterministic Planning Domains

Hector Muñoz-Avila, Ugur Kuter, Chad Hogg, 2009, IJCAI.

Bridging the Lesson Distribution Gap

Kalyan Moy Gupta, David W. Aha, Hector Muñoz-Avila, 2001, IJCAI.

Deployed Innovative Applications of Artificial Intelligence 2012

Hector Muñoz-Avila, Markus P. J. Fromherz, 2013, AI Mag..

Case Acquisition in a Project Planning Environment

Hector Muñoz-Avila, Sasidhar Mukkamalla, 2002, ECCBR.

Competitor Activation and Semantic Interference: Evidence from Combined Phonological and Semantic Similarity

Hector Muñoz-Avila, Padraig O'Seaghdha, Alexandra Frazer, 2014, CogSci.

Case-based Local and Global Percept Processing for Rebel Agents

Alexandra Coman, Hector Muñoz-Avila, Kellen Gillespie, 2015, ICCBR.

CBR Applied to Planning

Ralph Bergmann, Hector Muñoz-Avila, Manuela M. Veloso, 1998, Case-Based Reasoning Technology.

Theoretical and Empirical Aspects of a Planner in a Multi-agent Environment

Hector Muñoz-Avila, Dana S. Nau, Lingling Zhang, 2002, JELIA.

Multimodal Entity Coreference for Cervical Dysplasia Diagnosis

Jeff Heflin, Hector Muñoz-Avila, L. Rodney Long, 2015, IEEE Transactions on Medical Imaging.

Reports of the Workshops Held at the Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Arne Eigenfeldt, Santiago Ontañón, Hector Muñoz-Avila, 2015, AI Mag..

Informed Expectations to Guide GDA Agents in Partially Observable Environments

Hector Muñoz-Avila, Michael T. Cox, Dustin Dannenhauer, 2016, IJCAI.

LEARNING PRECONDITIONS FOR PLANNING FROM PLAN TRACES AND HTN STRUCTURE

David W. Aha, Hector Muñoz-Avila, Dana S. Nau, 2005, Comput. Intell..

Qualitative vs. Quantitative Plan Diversity in Case-Based Planning

Alexandra Coman, Hector Muñoz-Avila, Hector Muñoz-Avila, 2011, ICCBR.

Learning task hierarchies using statistical semantics and goal reasoning

Hector Muñoz-Avila, Ugur Kuter, Sriram Gopalakrishnan, 2018, AI Commun..

Automated Generation of Diverse NPC-Controlling FSMs Using Nondeterministic Planning Techniques

Alexandra Coman, Hector Muñoz-Avila, 2013, AIIDE.

An Analysis of Transformational Analogy: General Framework and Complexity

Hector Muñoz-Avila, Vithal Kuchibatla, 2008, AAAI.

Applications of SHOP and SHOP2

Hector Muñoz-Avila, Dana S. Nau, Ugur Kuter, 2005, IEEE Intelligent Systems.

Total-Order Planning with Partially Ordered Subtasks

Yue Cao, Hector Muñoz-Avila, Dana S. Nau, 2001, IJCAI.

Plan-Based Character Diversity

Alexandra Coman, Hector Muñoz-Avila, 2012, AIIDE.

A Case Retention Policy Based on Detrimental Retrieval

Hector Muñoz-Avila, 1999, ICCBR.

Learning Methods to Generate Good Plans: Integrating HTN Learning and Reinforcement Learning

Hector Muñoz-Avila, Ugur Kuter, Chad Hogg, 2010, AAAI.

CaBMA: Case-Based Project Management Assistant

Ke Xu, Hector Muñoz-Avila, Hector Muñoz-Avila, 2004, AAAI.

Learning and Reusing Goal-Specific Policies for Goal-Driven Autonomy

David W. Aha, Hector Muñoz-Avila, Ulit Jaidee, 2012, ICCBR.

Raising Expectations in GDA Agents Acting in Dynamic Environments

Hector Muñoz-Avila, Dustin Dannenhauer, Hector Muñoz-Avila, 2015, IJCAI.

Learning Hierarchical Task Models from Input Traces

Hector Muñoz-Avila, Ugur Kuter, Chad Hogg, 2016, Comput. Intell..

Using Guidelines to Constrain Interactive Case-Based HTN Planning

David W. Aha, Hector Muñoz-Avila, Dana S. Nau, 1999, ICCBR.

A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning pdf

Hector Muñoz-Avila, Nader Motee, Guangyi Liu, 2019, ArXiv.

Reducing the Memory Footprint of Temporal Difference Learning over Finitely Many States by Using Case-Based Generalization

Hector Muñoz-Avila, Matt Dilts, 2010, ICCBR.

On the Complexity of Plan Adaptation by Derivational Analogy in a Universal Classical Planning Framework

Hector Muñoz-Avila, Dana S. Nau, Tsz-Chiu Au, 2002, ECCBR.

IMPACTing SHOP: Planning in a Multi-agent Environment

Hector Muñoz-Avila, Dana S. Nau, Jürgen Dix, 2000, CL-2000 Workshop on Computational Logic in Multi-Agent Systems.

Retrieving Cases in Structured Domains by Using Goal Dependencies

Hector Muñoz-Avila, Jochem Hüllen, Hector Muñoz-Avila, 1995, International Conference on Case-Based Reasoning.

Learning to Do HTN Planning

Hector Muñoz-Avila, Dana S. Nau, Okhtay Ilghami, 2006, ICAPS.

Fallbasiertes Planen: ausgewählte Methoden und Systeme

Ralph Bergmann, Hector Muñoz-Avila, Manuela M. Veloso, 1996, Künstliche Intell..

Learning approximate preconditions for methods in hierarchical plans

David W. Aha, Hector Muñoz-Avila, Dana S. Nau, 2005, ICML.

An Intelligent Lessons Learned Process

David W. Aha, Hector Muñoz-Avila, Rosina O. Weber, 2000, ISMIS.

Adaptation of Hierarchical Task Network Plans

Hector Muñoz-Avila, Chad Hogg, Stephen Lee-Urban, 2007, FLAIRS.

Learning and Game AI

Hector Muñoz-Avila, Clare Bates Congdon, Graham Kendall, 2013, Artificial and Computational Intelligence in Games.

Maintaining Consistency in Project Planning Reuse

Ke Xu, Hector Muñoz-Avila, 2003, ICCBR.

Hierarchical Plan Representations for Encoding Strategic Game AI

Hector Muñoz-Avila, Stephen Lee-Urban, Hai Hoang, 2005, AIIDE.

The IJCAI-09 Workshop on Learning Structural Knowledge From Observations (STRUCK-09)

Hector Muñoz-Avila, Ugur Kuter, 2010, AI Mag..

Planning in a multi-agent environment: theory and practice

Hector Muñoz-Avila, Dana S. Nau, Lingling Zhang, 2002, AAMAS '02.

SHOP: Simple Hierarchical Ordered Planner

Hector Muñoz-Avila, Dana S. Nau, Amnon Lotem, 1999, IJCAI.

Automated learning of hierarchical task networks for controlling minecraft agents

Hector Muñoz-Avila, Chanh Nguyen, Noah Reifsnyder, 2017, 2017 IEEE Conference on Computational Intelligence and Games (CIG).

Conversational Case-Based Reasoning

David W. Aha, Hector Muñoz-Avila, Len Breslow, 2004, Applied Intelligence.

Generating Diverse Plans Using Quantitative and Qualitative Plan Distance Metrics

Alexandra Coman, Hector Muñoz-Avila, 2011, AAAI.

Goal-Driven Autonomy with Semantically-Annotated Hierarchical Cases

Hector Muñoz-Avila, Dustin Dannenhauer, Hector Muñoz-Avila, 2015, ICCBR.

MIDCA: A Metacognitive, Integrated Dual-Cycle Architecture for Self-Regulated Autonomy

Hector Muñoz-Avila, Donald Perlis, Vahid Eyorokon, 2016, AAAI.

Search in Real-Time Video Games

Martin V. Butz, Peter I. Cowling, Moshe Sipper, 2013, Artificial and Computational Intelligence in Games.

Case-Based Plan Adaptation: An Analysis and Review

Hector Muñoz-Avila, Michael T. Cox, Hector Muñoz-Avila, 2008, IEEE Intelligent Systems.

Case-Based Plan Diversity

Alexandra Coman, Hector Muñoz-Avila, 2010, ICCBR.

Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning

Hector Muñoz-Avila, Rafael Alonso, Chad Hogg, 2009, ICCBR.

Planning for Manufacturing Workpieces by Storing, Indexing and Replaying Planning Decisions

Hector Muñoz-Avila, Frank Weberskirch, Hector Muñoz-Avila, 1996, AIPS.

Discovering Causal Chains by Integrating Plan Recognition and Sequential Pattern Mining

Hector Muñoz-Avila, Shreeram Sahasrabudhe, Hector Muñoz-Avila, 2004, FLAIRS.

Innovative Applications of Artificial Intelligence 2013

Hector Muñoz-Avila, David J. Stracuzzi, 2014, AI Mag..

Monitoring Goal Driven Autonomy Agent's Expectations Generated from Durative Effects

Hector Muñoz-Avila, Noah Reifsnyder, Hector Muñoz-Avila, 2021, Intelligent Systems with Applications.

Learning Hierarchical Task Networks from Plan Traces

Hector Muñoz-Avila, Chad Hogg, 2007 .