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a2cc4233b5917f63328a846e9a52a13c7e9be403
PrimAITE
/
src
/
primaite
/
agents
History
Chris McCarthy
a2cc4233b5
#917
-Finished integrating all agents to either train (policy agents) or evaluate (hard-coded agents). Still some fixing up to do, tidying up, loading etc. also docs. But this is all now working.
2023-06-20 16:06:55 +01:00
..
__init__.py
1429 - created new branch from dev, added enums to enums.py, created agents package and utils.py file, added option to primaite_env.py for ANY action type and changed the action spaces are defined using ADSP branch
2023-05-26 10:17:45 +01:00
agent.py
#917
-Finished integrating all agents to either train (policy agents) or evaluate (hard-coded agents). Still some fixing up to do, tidying up, loading etc. also docs. But this is all now working.
2023-06-20 16:06:55 +01:00
hardcoded_acl.py
#917
-Finished integrating all agents to either train (policy agents) or evaluate (hard-coded agents). Still some fixing up to do, tidying up, loading etc. also docs. But this is all now working.
2023-06-20 16:06:55 +01:00
hardcoded_node.py
#917
-Finished integrating all agents to either train (policy agents) or evaluate (hard-coded agents). Still some fixing up to do, tidying up, loading etc. also docs. But this is all now working.
2023-06-20 16:06:55 +01:00
rllib.py
#917
-Finished integrating all agents to either train (policy agents) or evaluate (hard-coded agents). Still some fixing up to do, tidying up, loading etc. also docs. But this is all now working.
2023-06-20 16:06:55 +01:00
sb3.py
#917
-Finished integrating all agents to either train (policy agents) or evaluate (hard-coded agents). Still some fixing up to do, tidying up, loading etc. also docs. But this is all now working.
2023-06-20 16:06:55 +01:00
simple.py
#917
-Finished integrating all agents to either train (policy agents) or evaluate (hard-coded agents). Still some fixing up to do, tidying up, loading etc. also docs. But this is all now working.
2023-06-20 16:06:55 +01:00
utils.py
#917
-Finished integrating all agents to either train (policy agents) or evaluate (hard-coded agents). Still some fixing up to do, tidying up, loading etc. also docs. But this is all now working.
2023-06-20 16:06:55 +01:00