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Results tagged with reinforcement-learning
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user 53231
For questions related to reinforcement learning, i.e. a machine learning technique where we imagine an agent that interacts with an environment (composed of states) in time steps by taking actions and receiving rewards (or reinforcements), then, based on these interactions, the agent tries to find a policy (i.e. a behavioural strategy) that maximizes the cumulative reward (in the long run), so the goal of the agent is to maximize the reward.
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Why does a PPO agent perform only the action that costs the least?
I am trying to implement an intelligent agent that can perform penetration testing within the nasim (link) environment, a network simulator.
I would like to try to use parametric mode for actions, and …
- 133
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Can the environment change even without the intervention of the agent in Reinforcement Learn...
I'm modeling a problem using Reinforcement Learning (RL). Formally, I have two agents: one of them is the one that I have to program and model, the other one is unpredictable (random). With unpredicta …
- 133