-
I compile ur code use vs2015 ,windows10.
and it success.
but when i run the q-learning example(learn_scenario_image) in release mode.
it interrupt at ' VIRTUAL void GpuOp::apply2_inplace(int N, CLW…
-
The basic idea is to represent the joint state-action value function as a Gaussian process. The optimal policy can be approximated with a few steps of gradient descent on the action subspace, holding …
-
Today, in QOSF presentation meeting, there was interest in resources for learning Q#. In general, documentation, samples and katas help. I also pointed them to "Q# pocket guide" and upcoming "Quantum …
-
Hello
im testing our learning using your code.
Thank you always.
Currently, I have created a dataset with a 1:1 ratio of 8k and 64k datasets.
Afterwards, learning was conducted using code, bu…
5taku updated
1 month ago
-
**As an** agent
**I want to** be able to use Q-Learning to use as a strategy
**so that** I can play snake
## Acceptance Criteria
### AC1
Given I am starting to play a game of snake
When I do n…
-
Criar um algoritmo que otimiza um PID relativamente bom já determinado:
- Calcular uma função de recompensa no robô;
- Criar uma função para o K-learning em C++:
- Limitar a quantidade de vo…
-
Hi, hanjun. Thanks a lot for your great work! I have a question about the hierarchical Q-Learning mentioned in the paper. In equation 11, there are 2M Q functions and the paper claims only two distinc…
-
How would I go about if I wanted to save the experiences of the "Brain" object in Deep Q-Learning, and subsequently restore them and continue training? It seems that saving the "experience" object wou…
-
Hi, thank you very much for your sharing.
I have a question about the q learning network used in the code. Does it only use double deep q learning? Or can it choose other kinds? I find there are se…
-
state, stacked_frames = stack_frames(stacked_frames, state, True)
File "doom_rl.py", line 80, in stack_frames
frame = preprocess_frame(state)
File "doom_rl.py", line 71, in preprocess_frame…