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Genetic Algorithm as Function Optimizer in Reinforcement Learning and Sensor Odometry.
Reinforcement learning (RL) enables agents to make a decision based on a reward function. However, in the process of learning, the choice of values for learning algorithm parameters can significantly impact the overall ...
Evolving Effective Micro Behaviors for Real-Time Strategy Games
Real-Time Strategy games have become a new frontier of artificial intelligence research. Advances in real-time strategy game AI, like with chess and checkers before, will significantly advance the state of the art in AI ...
Evolving Potential Fields to Direct Tactics in Real Time Strategy Games
This thesis investigates the use of co-evolution to generate tactics in real-time strategy games. Games like Chess have been used to test AI approaches since the 1960s. Modern video games with simulated worlds now allow ...
Mind Reading for Social Robots: Stochastic Models of Intent Recognition
Understanding intent is an important aspect of communication among people and is an essential component of the human cognitive system. This capability is particularly relevant for situations that involve collaboration among ...