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Kemmerich, Thomas: Learning and coordination in sequential multiagent problems. 2012
Inhalt
Introduction
Background
Structure
Part I General Background
Background and Related Work
Multiagent Systems
The Online Partitioning Problem
Multirobot Task Allocation
Swarm Intelligence
Transfer Learning
Optimization
Reinforcement Learning
Introduction
Single Agent Reinforcement Learning
Multiagent Reinforcement Learning
Reward Shaping
Conclusion
Part II Foundations
Sequential Stage Games and Engineered Rewards
Sequential Stage Games
Engineered Reward-Based Models
The Iterative Agent Partitioning Problem
Problem Motivation
Formal Definition
Properties
Message Based Optimal Algorithms
Complexity
Summary
Storage Media
Concept
Strategic Positioning
Influence of Obstacles
Greedy Placement Strategy
Summary
Part III Algorithms
Reinforcement Learning with Noisy Rewards
Basic Definitions
Deterministic Q-Learning with Noisy Rewards
Q-Learning with Noisy Rewards and Optimistic Updates
Conclusion
Distributed Stateless Learning
Introduction
Approach
Formal Analysis
Evaluation
Complexity
Distributed Stateless Learning with Noisy Rewards
Discussion
Coordination in Sequential Stage Games
Coordination Strategies
Modeling the IAPP as Sequential Stage Game
Summary
Empirical Analysis
Settings
Basic Distributed Stateless Learning
Strategy Specific Simulations
Reward Types and Coordination Strategies
Evaluation in Different Scenarios
Discussion
Storage Medium-Based Distributed Stateless Learning
Approach
Empirical Analysis
Conclusion
Region-Based Heuristics
Target-Regions
Approximation of Target-Regions
Voronoi Regions
Discussion
Part IV Conclusion
Conclusions and Future Work
Conclusions
Future Work
Part V Appendix
Medium Coverage
Computation of Medium Coverage
Optimal Coverage
Simulation Results
Simulation Details for Global Reward Settings
Simulation Details for Local Reward Settings
Simulation Details for Locally Transformed Global Rewards
List of Notations
Abbreviations
References
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