AGH-CEAI / AGH-CEAI/aegis_gym

New registry for envs reward functions

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#141 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
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1
Forks
0
Avg merge
3d 1h
Merged PRs (30d)
2

Description

### Description

Introduced in #137 .

Create an empty dict in the BaseEnv to collect all rewards functions. Introduce somekind of StrEnum per env implementation to dynamically select functions to call.

### References

_No response_

Contributor guide

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Research direction

Start by reviewing issue #137 and the BaseEnv, then inspect the environment implementations and how their reward functions are currently selected. The work is done when BaseEnv has an empty reward-function registry and each environment implementation has a StrEnum-based way to select the functions to call.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning, robotics
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
45/100

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