Comments (4)
I apologize for replying to your question so late.
ACE is implemented based on DI-engine, and you can read some DI-engine (https://github.com/opendilab/DI-engine) documentation to learn how to use it.
The three most important files in the entire repository are:
-
model: https://github.com/opendilab/ACE/blob/main/ding/model/template/smac_ace.py which includes how to embed the SE-state.
-
policy: https://github.com/opendilab/ACE/blob/main/ding/policy/ace_dqn.py The
forward_learn
function includes the logic for learning,forward_collect
contains the logic for collecting data, andforward_eval
contains the logic for testing.
Thank you very much for your interest in our work. If you have any questions, please feel free to continue this conversation. I have set issue reminders to strong reminders.
from ace.
If there is any config.py you can provide?
from ace.
If there is any config.py you can provide?
In which environment do you wish to deploy ACE algorithms: SMAC, GRF, or other environments?
from ace.
GRF
from ace.
Related Issues (6)
- Agent Demo List
- Where the win rate is recorded in the result log for SMAC experiment? HOT 7
- error in running class BaseEnv(ABC, gym.Env)? how can i fix it? HOT 1
- i had use setup.py to create a venv,but there is still something wrong with the environment. hope to find out ! HOT 4
- the question of ACE Performance Evaluation HOT 1
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from ace.