Eclectic-Sheep / Eclectic-Sheep/sheeprl
Questions regarding algorithms performance in MineDojo and MineRl environment.
- Dominant language
- Python
- Stars
- 439
- Forks
- 66
- PR merge metrics
- No merged PRs in 30d
Description
Dear authors,
Thank you so much for this amazing project! I believe this is one of the best codebases I have used, in terms of system design, consistent algorithm implementation, and detailed documentation.
I’m currently working on a project related to Minecraft agents, aiming to develop a model-based approach that enables agents to collect diamonds or perform a range of tasks. However, I’m still trying to understand the performance of different algorithms on Minecraft-related tasks.
With this in mind, I was wondering if you have any benchmarking results showing the performance of different algorithms on Minecraft tasks (MineRL or MineDojo)? I’d really appreciate it. Thanks again!
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names MineRL and MineDojo but no repository files, tests, or entry points. Start by clarifying which algorithms and tasks should be compared; the issue is done only when agreed benchmarking results for Minecraft tasks are documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- game-dev, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100