Critic Guided Segmentation of Rewarding Objects in First-Person Views. Explanatory video:
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Updated
May 21, 2022 - Python
Critic Guided Segmentation of Rewarding Objects in First-Person Views. Explanatory video:
3rd placed submission to the NeurIPS MineRL competition 2019
Second place submission in the 2021 MineRL BASALT competition: training Minecraft agents on hard to specify tasks from demonstration, using Inverse soft-Q Learning for Imitation.
A Minecraft mod for simulating autonomous agents.
minerl-wrappers compiles common wrappers and standardizes code for reproducibility in the MineRL environment!
Submission for the 2022 MineRL Basalt - Diamond competition
Base of CraftGround, ⚡⚡ Lightning-Fast Minecraft Reinforcement Learning environment based on fabric
Remote environment for minerl competition environments
MineRL bot for mining diamonds 😼
Variational Autoencoder that leverages the Critic-Model (linked below).
Docker image for MineDojo, along with some useful testing scripts
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