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Results tagged with reinforcement-learning
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user 69058
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.
3
votes
Accepted
Why is soft actor critic an off policy scheme?
SAC is an off-policy method because it learns from a replay buffer, which contains experiences collected by the agent over time from potentially different versions of the policy. This means the agent …
5
votes
What is curriculum learning in reinforcement learning?
Curriculum learning is a training strategy in the context of DRL and other machine learning methods that involves organizing the learning process in a way that gradually increases the complexity of ta …