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Researcher with public evidence across AI research, Agents & robotics.
I had a lovely time in Seoul presenting Trust Region Inverse RL (arxiv.org/pdf/2605.11020) at @icmlconf.bsky.social! Also got a chance to visit and give a talk at the Robot Learning Lab at SNU (rllab.snu.ac.kr). They’re doing amazing work on RL for robotics 🦾
I had a lovely time in Seoul presenting Trust Region Inverse RL (arxiv.org/pdf/2605.11020) at @icmlconf.bsky.social! Also got a chance to visit and give a talk at the Robot Learning Lab at SNU (rllab.snu.ac.kr). They’re doing amazing work on RL for robotics 🦾
📢 Excited to share that our paper 𝗧𝗿𝘂𝘀𝘁 𝗥𝗲𝗴𝗶𝗼𝗻 𝗜𝗻𝘃𝗲𝗿𝘀𝗲 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗧𝗥𝗜𝗥𝗟) has been accepted at @icmlconf.bsky.social 2026! 🌐 Project page: lnkd.in/dqNi68Mk 📄 Paper: lnkd.in/dzbcCbjU #ICML2026 #ReinforcementLearning #InverseRL #ImitationLearning #Robotics
📢 Excited to share that our paper 𝗧𝗿𝘂𝘀𝘁 𝗥𝗲𝗴𝗶𝗼𝗻 𝗜𝗻𝘃𝗲𝗿𝘀𝗲 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗧𝗥𝗜𝗥𝗟) has been accepted at @icmlconf.bsky.social 2026! 🌐 Project page: lnkd.in/dqNi68Mk 📄 Paper: lnkd.in/dzbcCbjU #ICML2026 #ReinforcementLearning #InverseRL #ImitationLearning #Robotics
⚡️What if we could design robots with gradients? 🤖 Introducing Shape Your Body: we train one multi-embodiment policy + value function, then optimize new robot designs through value gradients. 🔗 Try out our interactive demo here: nico-bohlinger.github.io/shape-your-b...
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