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inrlcode/reinforcement-learning (press backspace or delete to remove)I was here: https://github.com/rlcode/reinforcement-learning/tree/master/2-cartpole
After the first image, the rest look like this: image
Code for those looks like this: image
In the repo, the file ...
EngrStudent
- Opened on Jul 8, 2024
- #121
I am running the script here but even after 500 episodes it does not converge. You can see the graph I get below: score
In contrast this is the supposedly converged graph from repo: cartpole_reinforce ...
a-ozbek
- Opened on Aug 18, 2021
- #108
Hello, I saw there was run.py script for running the example in README. But I can t find that script. How can I get
full-code example? Thanks, Regards.
ghost
- Opened on Apr 7, 2021
- #105
Hey all!
I get the following issue running, reinforce_agent.py and all of under, 3-atari. Prior to this, this same lines caused,
Tensor to Numpy array issue which was resolved by adding,
from tensorflow.python.framework.ops ...
ShakthiYasas
- 1
- Opened on Apr 2, 2021
- #104
Any idea how to go about implementing diagonal movement in grid score?
karlstraube
- Opened on Sep 24, 2020
- #99
I want to run other atari game, it s performance looks doesn t good. Could anyone help me? Whether I can achieve this
goal by change gym.make( ENV_NAME ) , and it s real_action? help me plllllz, appreciate ...
THSWind
- Opened on Jul 27, 2020
- #98
Hi, I would like to test some hyperparameters, with using threading, that will be much faster. But when I run threading
on DQN and DDQN algorithm, the error says: Tensor Tensor( dense_1/kernel:0 , shape=(2, ...
Ayanamii-i
- Opened on May 25, 2020
- #96
i was looking at the code for breakout and i saw various saved models ,but the code is only for one saved model then how
the other models were saved, i want to know if they were saved after making some ...
chetanya230598
- Opened on Apr 15, 2020
- #95
You are doing Q-Learning:
# get action for the current state and go one step in environment
action = agent.get_action(state)
next_state, reward, done, info = env.step(action) ...
laz8
- 1
- Opened on Mar 19, 2020
- #94

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