The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
Sensory cues increase risky choice when paired with wins but reduce risky choice when paired with losses, with parallel shifts in sensitivity to negative outcomes.
Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.
Abstract: Multi-agent systems (MAS) have shown great potential in executing complex tasks, but coordination and safety remain significant challenges. Multi-Agent Reinforcement Learning (MARL) offers a ...
Follow the Installation Guide to set up your ML environment. conda create -n ml_env python=3.10 conda activate ml_env pip install numpy pandas scikit-learn matplotlib jupyter tensorflow ...
Abstract: Conventional trajectory planning approaches for autonomous racing are based on the sequential execution of pre-diction of the opposing vehicles and subsequent trajectory plan-ning for the ...
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments ...
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