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Hey all, I’m super excited to announce that 𝘄𝗲 𝗷𝘂𝘀𝘁 𝗿𝗲𝗹𝗲𝗮𝘀𝗲𝗱 𝚖𝚒𝚗𝚎𝚛𝚕 𝟬.𝟮.𝟬 for the NeurIPS 2019 competition on sample efficient reinforcement learning! http://www.minerl.io/blog/

We are so grateful for how much feedback everyone on r/ML has given us about our data and new simulator we released for Minecraft, and over the past couple of weeks we’ve worked really hard to integrate all of of those changes. 🙂

An example of minerl.viewer on an expert trajectory in the 𝚖𝚒𝚗𝚎𝚛𝚕 dataset.

You can read more in our blog post, but one of the things we realized that imitation research needs is a really rich visualizer for expert trajectories, so we made one, minerl.viewer. We hope to expand support for other imitation learning datasets like AtariGrandChallenge because this tool has been so useful for us in developing our own baselines.

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With <3 from CMU,

The 𝚖𝚒𝚗𝚎𝚛𝚕 Team

Update now: 𝚙𝚒𝚙𝟹 𝚒𝚗𝚜𝚝𝚊𝚕𝚕 –𝚞𝚙𝚐𝚛𝚊𝚍𝚎 𝚖𝚒𝚗𝚎𝚛𝚕

Get new data: 𝚖𝚒𝚗𝚎𝚛𝚕.𝚍𝚊𝚝𝚊.𝚍𝚘𝚠𝚗𝚕𝚘𝚊𝚍()