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Tagged with tensorflowdqn
6 questions
1vote
0answers
21views
What Policy/Agent and Observation Spec To Use For TensorFlow Agents For Video Game Platformer?
I'm trying to create a model to beat a video game platformer I made a few months ago. In the game, the platforms scroll down from the sky and the player has to keep jumping to them to avoid touching ...
1vote
0answers
64views
Replay Buffer taking long time to construct (Reinforcement Learning DQN with tf-agetns)
I'm new to Reinforcement Learning and I have some question. I am actually training some DQN using the tf-agents from tensorflow. And I recently learned that it's not possible to train a DQN using ...
0votes
1answer
898views
Time taken to solve cartpole environment using DQN
I am trying to solve the cartpole environment (GitHub) using DQN agent. I have been building my own DQN agent by following a tutorial by Jon Krohn. I am able to solve the environment with a maximum ...
0votes
1answer
788views
Keras DQN Model with Multiple Inputs and Multiple Outputs [closed]
I am trying to create a DQN agent where I have 2 inputs: the agent's position and a matrix of 0s and 1s. The output is composed of the agent's new chosen position, a matrix of 0s and 1s (different ...
2votes
1answer
501views
Why isn't my implementation of DQN using TensorFlow on the FrozenWorld environment working?
I am trying to test DQN on FrozenWorld environment in gym using TensorFlow 2.x. The update rule is (off policy) $$Q(s,a) \leftarrow Q(s,a)+\alpha (r+\gamma~ max_{a'}Q(s',a')-Q(s,a))$$ I am using an ...
1vote
1answer
940views
Problem over DQN Algorithm not converging on snake
I'm using a DQN Algorithm to play Snake. The input of the neural network is a stack of 4 images taken from the games 80x80. The output is an array of 4 values, one for every direction. The problem ...