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Results tagged with reinforcement-learning
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user 18123
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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Snake game: snake converges to going in the same direction every time
This is a q-learning snake using a neural network as a q function aproximator and I'm losing my mind here the current model it's worst than the initial one.
The current model uses a 32x32x32 MLPRegre …
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