Hi Ameya,
I understand that you want to be able to pause and resume your training process at the end of each epoch, and then be able to repeat the steps for 100 episodes. Follow the below steps for being able to do the same:
To implement the pausing and resuming of training, you'll need to create a custom training loop.
Inside your custom training loop, you can implement a mechanism to pause and resume training. You can use a combination of pause, save, and load MATLAB commands to save and load agent checkpoints or training data.
Implement a way to reset the environment or the vehicle to its initial state. You can create a custom function or method that performs the reset operation.
Create a loop that iterates for a specified number of episodes
Sample code attached below for your reference:
% Create your custom training loop
numEpisodes = 100;
agent = trainDDPGAgent(); % Create and configure your DDPG agent
for episode = 1:numEpisodes
% Perform training for one episode
trainingData = trainOneEpisode(agent, episode);
% Pause training and manually reset your robot
% Implement the logic to save the training data if needed
pause; % Manually reset your robot
% Resume training for the next episode
if episode < numEpisodes
% Load the agent and continue training
agent = loadAgent(); % Implement the loading logic
resume(agent, trainingData); % Implement the resuming logic
end
end
Please refer to the following link for more information:
Hope this helped.
Regards,
Anurag
