strategyrandom
Strategyrandom is a concept in decision making and artificial intelligence that refers to the deliberate incorporation of randomness into the selection of strategies or actions. The central idea is to replace a fixed plan with a probabilistic policy that assigns likelihoods to available options, enabling an agent to act unpredictably across different situations. This approach contrasts with deterministic strategies, where the same input yields the same action.
In game theory, strategyrandom aligns with mixed or probabilistic strategies, where a player chooses each possible
In artificial intelligence and machine learning, strategyrandom is used for exploration, robustness, and adversarial resilience. Techniques
Common examples include classic games such as rock-paper-scissors, where equal mixing yields optimal unpredictability, and more
Considerations when using strategyrandom include trade-offs between exploration and exploitation, computational overhead of sampling from distributions,