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Questions tagged [model-free]

For questions related to model-free reinforcement learning algorithms.

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1answer
82 views

Why are model-based methods more sample efficient than model-free methods?

Why do model-based methods use fewer samples than model-free methods? Here, I'm specifically referring to model-based methods in which we have to learn a policy and model. I can only think of two ...
2
votes
1answer
71 views

What is the relation between Monte Carlo and model-free algorithms?

Monte Carlo (MC) methods are methods that use some form of randomness or sampling. For example, we can use an MC method to approximate the area of a circle inside a square: we generate random 2D ...
1
vote
1answer
319 views

List of model-based and model-free reinforcement learning algorithms

I would like to know a list of model-based and model-free reinforcement learning algorithms, like Q-learning, SARSA, TD, Dyna-Q.
0
votes
0answers
107 views

How can we estimate the transition model and reward function?

In reinforcement learning (RL), there are model-based and model-free algorithms. In short, model-based algorithms use a transition model (e.g. a probability distribution) and the reward function, even ...
31
votes
6answers
16k views

What's the difference between model-free and model-based reinforcement learning?

What's the difference between model-free and model-based reinforcement learning? It seems to me that any model-free learner, learning through trial and error, could be reframed as model-based. In ...