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Experimental Game AI

How do reward policies influence agent decisions in small game environments and RTS-style simulations?

Experimental research · 2022–2026
PythonC++Reinforcement learningOpenAI APIFastAPIBWAPI

The research question

How do reward policies influence agent decisions in small game environments and RTS-style simulations?

The approach

Mini-game prototypes and reinforcement-learning experiments explore gameplay strategies and reward-based optimisation. BWAPI / StarCraft-based fork simulations extend this work to strategic decision-making.

Current status

Experimental research documented in the supplied résumé. Screenshots, source links and a public demo are not yet available.

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