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Adaptive Reinforcement Learning Agents in RTS Games

Adaptive Reinforcement Learning Agents in RTS Games. Eric Kok. 1.Introduction. Abstract. Motivation. RTS Games. Bos Wars. Agent Technology. Reinforcement Learning. 2 .Existing Research. Dynamic Scripting. Evolutionary Learning. Case-based Plan selection.

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Adaptive Reinforcement Learning Agents in RTS Games

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  1. Adaptive Reinforcement Learning Agents in RTS Games Eric Kok

  2. 1.Introduction

  3. Abstract

  4. Motivation

  5. RTS Games

  6. Bos Wars

  7. Agent Technology

  8. Reinforcement Learning

  9. 2.Existing Research

  10. Dynamic Scripting

  11. Evolutionary Learning

  12. Case-based Plan selection

  13. Concurrent hierarchal Reinforcement Learning

  14. 3.Learning winning RTS Game Strategies

  15. Learning in 2apl agents

  16. BDI Agents

  17. Temporal Difference Learning

  18. Monte-Carlo Methods

  19. 4.Improvements implemented

  20. Rule Guards

  21. Softmax Exploration Policy

  22. Strategy Hierarchy

  23. MC-DS Hybrid

  24. 5.Improvements out of project scope

  25. Dynamic Scripting Enhancement

  26. Comparison of more Learning algorithms

  27. Game State Function Approximation

  28. Semi-MDP Reinforcement Learning

  29. 6.Adaptation to opponent Strategies

  30. Implicit Adaptation

  31. Explicit Adaptation

  32. Multi-Agent Learning

  33. 8.Adaption Ideas Out of scope

  34. Explicit Adaptation through player modeling

  35. Opponent Strength Adaptation

  36. 9.Project Conclusions

  37. Fail Rates

  38. Av. Turning Points

  39. Usability of Learning agents in computer games

  40. 10.Future Research

  41. Learning on a full complex game task

  42. Strategy Visualization Tool

  43. Explicit Player Modeling

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