I am trying to use huber loss in a keras model (writing DQN), but I am getting bad result, I think I am something doing wrong. My is code is below. model = Sequential() model.add(Dense(output_dim=...

I am trying to run a lunar_lander on reinforcement learning, but when I run it, it occurs an error. Plus my computer is osx system. Here is the code of lunar lander: import numpy as np import gym...

I am currently trying to learn about reinforcement learning (RL). I am quite new to the field, and I apologize for the wall of text. I have encountered many examples of RL using TensorFlow, Keras, ...

I'm using gym toolkit to create my own env and keras-rl to use my env within an agent. The problem is that my actions space changes, it depends from actual state. For example, i have 46 possible a...

Does anyone know how to run one of the OpenAI gym environments as a player. As in letting a human player play a round of cart pole? I have seen that there is env.mode = 'human' but I have not been ...

I'm going through this reinforcement learning tutorial and It's been really great so far but could someone please explain what newQ = model.predict(new_state.reshape(1,64), batch_size=1) and m...

After training a PyTorch model on a GPU for several hours, the program fails with the error RuntimeError: cuDNN error: CUDNN_STATUS_INTERNAL_ERROR Training Conditions Neural Network: PyTorch...

I'm currently reading Hands-On Reinforcement Learning with Python by Sudharsan Ravichandiran and on one of the first examples I run into this AttributeError: AttributeError 'TimeLimit' object has ...

I took multiprocessing example for Stable Baselines 3 and everything was fine. https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/sb3/multiprocessing_rl.ipynb#sc...

I want to compile my DQN Agent but I get error: AttributeError: 'Adam' object has no attribute '_name', DQN = buildAgent(model, actions) DQN.compile(Adam(lr=1e-3), metrics=['mae']) I tried adding ...

I write this post because since I use slurm, I have not been able to use ray correctly. Whenever I use the commands : ray.init trainer = A3CTrainer(env = “my_env”) (I have registered my env on tun...

I would like to access the raw pixels in the OpenAI gym CartPole-v0 environment without opening a render window. How do I do this? Example code: import gym env = gym.make("CartPole-v0") env.reset...

Although I know that SARSA is on-policy while Q-learning is off-policy, when looking at their formulas it's hard (to me) to see any difference between these two algorithms. According to the book Re...

import gym if __name__ == "__main__": env = gym.make("CartPole-v0") env = gym.wrappers.Monitor(env, "recording") total_reward = 0.0 total_steps = 0 obs = env.res...

Today, when I was trying to implement an rl-agent under the environment openai-gym, I found a problem that it seemed that all agents are trained from the most initial state: env.reset(), i.e. imp...

I'm using Ray & RLlib to train RL agents on an Ubuntu system. Tensorboard is used to monitor the training progress by pointing it to ~/ray_results where all the log files for all runs are store...

What's the difference between reinforcement learning, deep learning, and deep reinforcement learning? Where does Q-learning fit in?

How to list all currently registered environment IDs (as they are used for creating environments) in openai gym? A bit context: there are many plugins installed which have customary ids such as a...

How can I add the rewards to tensorboard logging in Stable Baselines3 using a custom environment? I have this learning code model = PPO( "MlpPolicy", env, learning_rate=1e-4, policy_kw...

I have just created a new environment with gym installation. I am just getting started with Atari games but am getting an import error for my below code - import gym env = gym.make('FrozenLake-v1')...

This code is built up as follows: My robot takes a picture, some tf computer vision model calculates where in the picture the target object starts. This information (x1 and x2 coordinate) is passed...

I understand that epsilon marks the trade-off between exploration and exploitation. At the beginning, you want epsilon to be high so that you take big leaps and learn things. As you learn about fut...

I am trying to run stable baselines on sports games but keep getting the following error Traceback (most recent call last): File "/home/dev/Desktop/Projects/AI/NBA2/stable_baselines_run.py&qu...

I am learning about the approach employed in Reinforcement Learning for robotics and I came across the concept of Evolutionary Strategies. But I couldn't understand how RL and ES are different. Can...

I want to play with the OpenAI gyms in a notebook, with the gym being rendered inline. Here's a basic example: import matplotlib.pyplot as plt import gym from IPython import display %matplotlib i...