Top "Reinforcement-learning" questions

Reinforcement learning is an area of machine learning and computer science concerned with how to select an action in a state that maximizes a numerical reward in a particular environment.

Display OpenAI gym in Jupyter notebook only

I want to play with the OpenAI gyms in a notebook, with the gym being rendered inline. Here's a basic …

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Q-learning vs dynamic programming

Is the classic Q-learning algorithm, using lookup table (instead of function approximation), equivalent to dynamic programming?

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Alpha and Gamma parameters in QLearning

What difference to the algorithm does it make having a big or small gamma value? In my optic, as long …

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How can I register a custom environment in OpenAI's gym?

I have created a custom environment, as per the OpenAI Gym framework; containing step, reset, action, and reward functions. I …

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AttributeError: module '_Box2D' has no attribute 'RAND_LIMIT_swigconstant'

I am trying to run a lunar_lander on reinforcement learning, but when I run it, it occurs an error. …

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Are Q-learning and SARSA with greedy selection equivalent?

The difference between Q-learning and SARSA is that Q-learning compares the current state and the best possible next state, whereas …

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How to implement custom environment in keras-rl / OpenAI GYM?

I'm a complete newbie to Reinforcement Learning and have been searching for a framework/module to easily navigate this treacherous …

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C++ Reinforcement Learning Library

I have been looking for a C++ Library that implements Reinforcement Learning Algorithms but was not very satisfied with the …

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Reinforcement learning in C#

I intend to use Reinforcement learning in my project but I do not know much how to implement it.. So …

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Learning rate of a Q learning agent

The question how the learning rate influences the convergence rate and convergence itself. If the learning rate is constant, will …

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