For questions about the FrozenLake environment, which is a very simple environment often used in the context of reinforcement learning.
Questions tagged [frozen-lake]
3 questions
5
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Why is my implementation of Q-learning not converging to the right values in the FrozenLake environment?
I am trying to learn tabular Q learning by using a table of states and actions (i.e. no neural networks). I was trying it out on the FrozenLake environment. It's a very simple environment, where the task is to reach a G starting from a source S…
abkds
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4
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What should the discount factor for the non-slippery version of the FrozenLake environment be?
I was working with FrozenLake 4x4 from open AI gym. In the slippery case, using a discounting factor of 1, my value iteration implementation was giving a success rate of around 75 percent. It was much worse for the 8x8 grid with success around 50%.…
ketan dhanuka
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Reinforcement Learning (gymnasium's FrozenLake-v1) using Spiking Neural Networks (BindsNet)
I'm new to reinforcement learning. I'm trying to solve the FrozenLake-v1 game using OpenAI's gymnasium learning environment and BindsNet, which is a library to simulate Spiking Neural Networks using PyTorch.
I've gone over the examples provided by…
gthampi
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