
MineRL Project
@minerl_official
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Official Twitter page for the MineRL Project. Account run by @steph_milani. The BASALT 2022 competition has ended!
Joined May 2019
Curious to hear about @OriolVinyalsML, @fangf07, @xkianteb, & @smdvln discuss the 2022 NeurIPS BASALT competition, the future of learning from human feedback, and more? Join us for a panel discussion moderated by @steph_milani from 8:30-9am ET tomorrow:
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RT @steph_milani: Btw if you’re looking for a difficult benchmark for agents, @minerl_official BASALT is still unsolved 🤖.
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RT @steph_milani: 🎉 BEDD has been honored with an Outstanding Paper Award from the ICML MFM-EAI workshop! Grateful to the reviewers & organ….
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RT @steph_milani: Our work on @minerl_official was featured in this nice article about AI safety! Thanks @khulick for speaking with us.
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RT @steph_milani: Our paper introduces the BASALT Evaluation & Demonstrations Dataset (BEDD) for learning from human feedback in Minecraft….
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RT @steph_milani: Training AI agents from human feedback is critical for safety and alignment. To aid this, we developed two related datase….
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RT @steph_milani: I’m at @NeurIPSConf!.Giving a talk on this work tomorrow at 4:15pm in Ballroom A-C level 2. If you’re interested in RLH….
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RT @steph_milani: Such a nice conclusion to the @minerl_official competitions to have our paper on the BASALT evaluation & demonstrations d….
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RT @GameAISchool: Continuing our industry talks from our co-organizers @MSFTResearch and Playing Minecraft with AI with Anssi Kanervisto!.#….
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RT @alacremeox: Presenting my work for the MineRL BASALT challenge at the NeurIPS workshop tomorrow!.
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We’re presenting on the BASALT competition at @NeurIPSConf today at 6pm CT! Come talk to @PineappleML, @steph_milani, @bgalbraith, & Anssi about solving hard tasks in Minecraft ⛏ We’re on the second floor in Ballroom C.
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RT @smdvln: Then @Tea_Pearce will discuss imitating human behavior with diffusion models at the Deep RL Workshop: .
microsoft.com
Diffusion models have emerged as powerful generative models in the text-to-image domain. This paper studies their application as observation-to-action models for imitating human behaviour in sequen...
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RT @marcuswallacej: Ready for #NeurIPS2022??.This year the Competition Track will be both physical and online! We are organizing an in-pers….
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RT @nolliechain: I just got officially sponsored to attend @NeurIPSConf in-person thanks to @minerl_official!! I’m so grateful for this opp….
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RT @NanaYaaSally: Please don’t forget to apply for the @black_in_ai funding for attending this year’s workshop co-located with @NeurIPSConf….
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RT @AnthropicAI: We examine which safety techniques for LMs are more robust to human-written, adversarial inputs (“red teaming”) and find t….
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