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.
I want to play with the OpenAI gyms in a notebook, with the gym being rendered inline. Here's a basic …
python python-3.x jupyter-notebook reinforcement-learning openai-gymIs the classic Q-learning algorithm, using lookup table (instead of function approximation), equivalent to dynamic programming?
machine-learning dynamic-programming reinforcement-learning q-learningWhat difference to the algorithm does it make having a big or small gamma value? In my optic, as long …
language-agnostic artificial-intelligence reinforcement-learningI have created a custom environment, as per the OpenAI Gym framework; containing step, reset, action, and reward functions. I …
reinforcement-learning openai-gymI am trying to run a lunar_lander on reinforcement learning, but when I run it, it occurs an error. …
python machine-learning box2d reinforcement-learningThe difference between Q-learning and SARSA is that Q-learning compares the current state and the best possible next state, whereas …
reinforcement-learning q-learning sarsaI'm a complete newbie to Reinforcement Learning and have been searching for a framework/module to easily navigate this treacherous …
keras reinforcement-learning openai-gym keras-rlI have been looking for a C++ Library that implements Reinforcement Learning Algorithms but was not very satisfied with the …
c++ machine-learning reinforcement-learningI intend to use Reinforcement learning in my project but I do not know much how to implement it.. So …
c# machine-learning neural-network reinforcement-learningThe question how the learning rate influences the convergence rate and convergence itself. If the learning rate is constant, will …
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