Using local models to control movement
Advances in neural information processing systems 2
Self-improving reactive agents: case studies of reinforcement learning frameworks
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
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Machine Learning
Neural network perception for mobile robot guidance
Neural network perception for mobile robot guidance
Designing emergent behaviors: from local interactions to collective intelligence
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
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Learning to act using real-time dynamic programming
Artificial Intelligence - Special volume on computational research on interaction and agency, part 1
Heterogeneous multi-robot cooperation
Heterogeneous multi-robot cooperation
Learning to Predict by the Methods of Temporal Differences
Machine Learning
Learning in embedded systems
A history-based approach for adaptive robot behavior in dynamic environments
AGENTS '98 Proceedings of the second international conference on Autonomous agents
A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots
Machine Learning - Special issue on learning in autonomous robots
Module-Based Reinforcement Learning: Experiments with a Real Robot
Machine Learning - Special issue on learning in autonomous robots
Learning from History for Behavior-Based Mobile Robots in Non-Stationary Conditions
Machine Learning - Special issue on learning in autonomous robots
Distributed reinforcement learning for a traffic engineering application
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Hierarchical multi-agent reinforcement learning
Proceedings of the fifth international conference on Autonomous agents
Module-Based Reinforcement Learning: Experiments with a Real Robot
Autonomous Robots
Repeatability of Real World Training Experiments: A Case Study
Autonomous Robots
Robot Awareness in Cooperative Mobile Robot Learning
Autonomous Robots
Acquiring Mobile Robot Behaviors by Learning Trajectory Velocities
Autonomous Robots
Coordination and Learning in Multirobot Systems
IEEE Intelligent Systems
Collective behavior evolution in a group of cooperating agents
Intelligent agents and their applications
Module Based Reinforcement Learning: An Application to a Real Robot
EWLR-6 Proceedings of the 6th European Workshop on Learning Robots
On Using Constructivism in Neural Classifier Systems
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Neurofuzzy Learning of Mobile Robot Behaviours
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
MUTANT: A Genetic Learning System
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Bridging Deliberation and Reactivity in Cooperative Multi-Robot Systems through Map Focus
Balancing Reactivity and Social Deliberation in Multi-Agent Systems, From RoboCup to Real-World Applications (selected papers from the ECAI 2000 Workshop and additional contributions)
An Architectural Framework for Integrated Multiagent Planning, Reacting, and Learning
ATAL '00 Proceedings of the 7th International Workshop on Intelligent Agents VII. Agent Theories Architectures and Languages
Exploring artificial intelligence in the new millennium
Biologically inspired neural network approaches to real-time collision-free robot motion planning
Biologically inspired robot behavior engineering
Simulating autonomous agents in augmented reality
Journal of Systems and Software
A Model of Adaptation in Collaborative Multi-Agent Systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Using Optimal Foraging Models to Evaluate Learned Robotic Foraging Behavior
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Cooperative Multi-Agent Learning: The State of the Art
Autonomous Agents and Multi-Agent Systems
Analysis of Dynamic Task Allocation in Multi-Robot Systems
International Journal of Robotics Research
Experiments in socially guided machine learning: understanding how humans teach
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Autonomous shaping: knowledge transfer in reinforcement learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
Spartacus attending the 2005 AAAI conference
Autonomous Robots
A framework for meta-level control in multi-agent systems
Autonomous Agents and Multi-Agent Systems
Shaping multi-agent systems with gradient reinforcement learning
Autonomous Agents and Multi-Agent Systems
A study of mechanisms for improving robotic group performance
Artificial Intelligence
Teachable robots: Understanding human teaching behavior to build more effective robot learners
Artificial Intelligence
Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning
International Journal of Robotics Research
A machine-learning approach to multi-robot coordination
Engineering Applications of Artificial Intelligence
Applying Reinforcement Learning to Multi-robot Team Coordination
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Co-evolution of Shaping Rewards and Meta-Parameters in Reinforcement Learning
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Strengths and synergies of evolved and designed controllers: A study within collective robotics
Artificial Intelligence
Multi-robot task allocation through vacancy chain scheduling
Robotics and Autonomous Systems
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Multi-agent systems by incremental gradient reinforcement learning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
MDP based active localization for multiple robots
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Memory-enhanced evolutionary robotics: the echo state network approach
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Mimetic communication with impedance control for physical human-robot interaction
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Cooperative multi-robot reinforcement learning: a framework in hybrid state space
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Experience-based reinforcement learning to acquire effective behavior in a multi-agent domain
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Information Sciences: an International Journal
IEEE Transactions on Evolutionary Computation
Using communication to reduce locality in multi-robot learning
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
A Human-Robot Collaborative Reinforcement Learning Algorithm
Journal of Intelligent and Robotic Systems
A novel multi-agent reinforcement learning approach for job scheduling in Grid computing
Future Generation Computer Systems
Study of a multi-robot collaborative task through reinforcement learning
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I
Multiagent reactive plan application learning in dynamic environments
Proceedings of the 15th WSEAS international conference on Computers
Theoretical considerations of potential-based reward shaping for multi-agent systems
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
On-Board Evolutionary Algorithm and Off-Line Rule Discovery for Column Formation in Swarm Robotics
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Communication, diversity and learning: cornerstones of swarm behavior
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
Distributed localization and mapping with a robotic swarm
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
An overview of cooperative and competitive multiagent learning
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
Adaptive multi-robot team reconfiguration using a policy-reuse reinforcement learning approach
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
Learning in behavior-based multi-robot systems: policies, models, and other agents
Cognitive Systems Research
Dynamic potential-based reward shaping
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Transfer in reinforcement learning via shared features
The Journal of Machine Learning Research
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ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
Information Sciences: an International Journal
GESwarm: grammatical evolution for the automatic synthesis of collective behaviors in swarm robotics
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Design with shape grammars and reinforcement learning
Advanced Engineering Informatics
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Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Robotics and Autonomous Systems
Reinforcement learning in robotics: A survey
International Journal of Robotics Research
Encouraging reactivity to create robust machines
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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This paper describes a formulation of reinforcement learning thatenables learning in noisy, dynamic environments such as in thecomplex concurrent multi-robot learning domain. The methodologyinvolves minimizing the learning space through the use of behaviors andconditions, and dealing with the credit assignment problem throughshaped reinforcement in the form of heterogeneous reinforcementfunctions and progress estimators. We experimentally validate theapproach on a group of four mobile robots learning a foraging task.