All Questions
5 questions
0votes
2answers
860views
Best way to use/learn ML for board-game reinforcement learning
I am relatively new to Python but I taught myself enough to code a two-player board game that is similar to chess. It has a simple Tkinter UI. Now I am dipping into machine learning, and I want to ...
- 103
-1votes
1answer
149views
Exploration for softmax should be binary or continuous softmax?
Maybe it's silly to ask but for random exploration in an RL for choosing discrete action, that in the neural network last layer softmax will be used, what random samples should we provide? binary like ...
3votes
0answers
44views
Reinforcement Learning on quantum circuit
I am trying to teach an agent to make any random 1-qubit state reach uniform superposition. So basically, the full circuit will be ...
1vote
0answers
124views
Same implementation, but agent is not learning in Retro Pong Environment
I tried to implement the exact same python coding by Andrej Karpathy to train RL agent to play Pong, except that I migrated the environment from Gym to Retro. Everything is the same except the action ...
- 21
0votes
1answer
368views
Deep Q Learning Algorithm for Simple Python Game makes player stuck
I made a simple Python game. A screenshot is below: Basically, a paddle moves left and right catching particles. Some make you lose points while others make you gains points. This is my first Deep Q ...
- 131
