-
-
Notifications
You must be signed in to change notification settings - Fork 15
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Item gathering added to main #6
Conversation
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Good one :-).
My main worry is essentially the divergence with the original env. We can discuss that later today.
# Apply actions and update system state | ||
for i, agent in enumerate(self.agents): | ||
act = actions[agent] | ||
print(agent, ACTIONS[act]) |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Cleanup prints :-)
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thanks, I made all the updates. Biggest change is adding functionality to generate random maps and randomise maps, according to the original paper. I also added additional notes on how our observation space is different than the original implementation.
…echmarks into item-gathering
The implementation of the MO-Item gathering environment based on the environment from:
Johan Källström and Fredrik Heintz. 2019. Tunable Dynamics in Agent-Based Simulation using Multi-Objective
Reinforcement Learning. Presented at the Adaptive and Learning Agents Workshop at AAMAS 2019.
https://liu.diva-portal.org/smash/record.jsf?pid=diva2%3A1362933&dswid=9018