Carlo D'Eramo
@CarloDeramo
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Professor of Reinforcement Learning & Decision-Making and group leader of the LiteRL group | @Uni_WUE @TUDarmstadt | Creator of @Mushroom_RL
Würzburg, Germany
Joined December 2021
I had a fantastic time discussing my research @AmiiThinks and @UAlberta last August. If you are interested in Multi-Task Reinforcement Learning (MTRL) and Mixture of Experts (MoE), then this talk is for you. ➡️ Full talk: https://t.co/iOLb93DFQs
#reinforcementlearning #AI
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In this paper, the authors compute the gradient update of the policy of one agent by accounting also for the update of all other agents. I feel this is a fairly general idea that could be applied to most multi-agent RL algorithms. 🔗 https://t.co/nLLmmgpMIh
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Attending @RL_Conference this year at @UAlberta, Canada 🇨🇦 ! I'm excited to be organizing a workshop on Inductive Biases in Reinforcement Learning @ibrlworkshop. Let's meet to discuss multi-task RL, Mixture of Experts, and other cool topics. Hope to see you there!
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RLC starts tomorrow here in Edmonton. I couldn't be more excited! It has a fantastic roll of speakers, great papers, and workshops. And this time, it is in Edmonton 😁 @RL_Conference is my favourite conference, and no, it is not because I am one of its organizers this year.
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Looking forward to @RL_Conference! I will be presenting 4 posters, feel free to come and exchange with me during the conference, @RLFrameWorkshop, or @ibrlworkshop🙂
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🗓️ The IBRL Workshop kicks off tomorrow! 🎉 Join us at @RL_Conference @UAlberta to explore how Inductive Biases can boost 🚀 the performance of RL agents. 📄 Accepted papers: https://t.co/m39oYjEg3Z 📅 Full schedule: https://t.co/2kazxB3692
#ReinforcementLearning #RLC2025
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To increase the reward propagation in value-based RL algorithms, it is tempting to reduce the target update period🤔 But, this makes the training unstable💔 @RL_Conference, I will present i-QN, a new method that allows faster reward propagation, while keeping stability⚡️ 👉🧵
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🎤 Very excited to give a talk @Cohere_Labs next week 🎤 I will be presenting the research I have been working on for the last 2 years with @CarloDeramo, @Jan_R_Peters, and many more collaborators! https://t.co/aBGVxECxaB
Join our Reinforcement Learning Group next week on Friday, July 18th as they welcome @Theo_Vincent_ for a session on "Optimizing the Learning Trajectory of Reinforcement Learning Agents." Thanks to @rahul_narava and @gustiwinata_ for organizing this event ✨
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Thanks to my amazing co-authors: Tim Faust, @YogeshTrip7354, @Jan_R_Peters, and @CarloDeramo 🎬Video👉 https://t.co/ScMh8R52ob 📄Paper👉 https://t.co/4MV6noQFwL 👨💻Code👉 https://t.co/RgyNroVsGC 🏋️♂️Weights👉 https://t.co/Ut4C1Ks8Mm
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📢 Submission deadline extension: the new deadline is June 6th AoE 🔗 Portal: https://t.co/NIuF9Bn8yA 🌐 More information at: https://t.co/52SKuE33vS 🚀 Looking forward to seeing you at @RL_Conference !
sites.google.com
Call for Papers
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🚀 TU Darmstadt leads the new Cluster of Excellence "Reasonable AI" – advancing trustworthy, efficient & adaptive AI grounded in common sense. A big thank you to the entire team, the university, and the state of Hesse for their tremendous work & support! https://t.co/XiNSAwG6Dy
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I'm pleased to announce that, starting October 1st, I will be joining the Computer Science department at Lund University (in Sweden) as a Senior Lecturer. I will join the Robotic and Semantic Systems group and collaborate in the RobotLab LTH, where I'll bring my RL expertise.
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I'm very excited for this new adventure and very grateful to @Jan_R_Peters for his massive support during my time as postdoc/group leader at @ias_tudarmstadt Also, many thanks to my amazing friends @GeorgiaChal and @CarloDeramo for their help and support.
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How do you tune the hyperparameters of your RL agent? 🤔 Come and chat with me about it tomorrow afternoon at poster 397 of @iclr_conf ! I will be presenting⚡️ Adaptive Q-Network⚡️a method that adaptively selects the hyperparameters of your RL agent during training 🔥
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🚨 We're hiring! We are looking for postdocs and PhD students to join the Reinforcement Learning group at @polimi in Fall 2025 to work on the theory and practice of human feedback in RL. 📅 Apply by May 31, 2025 🔗 https://t.co/32VwgR13gU 🔁 Spread the word!
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Our Call for Papers is out!
📢 The Call for Papers for the IBRL workshop is now open! 🚀 🤖 Topics: abstractions and structured policies, generalization, relational biases and representations, biases for robotics, future directions, and more 🗓️ Submission Deadline: 30th May 2025, AoE 📙 Format: 4-8 pages
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✅ Works accepted at other venues are welcome if published after 1 September 2024 🔗 OpenReview portal: https://t.co/NIuF9Bn8yA 📝 If you want to participate as a reviewer, check: https://t.co/7uwkOxIzU8 🌐 For more information, check:
sites.google.com
Call for Papers
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📢 The Call for Papers for the IBRL workshop is now open! 🚀 🤖 Topics: abstractions and structured policies, generalization, relational biases and representations, biases for robotics, future directions, and more 🗓️ Submission Deadline: 30th May 2025, AoE 📙 Format: 4-8 pages
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The call for papers for our workshop on Inductive Biases in #RL @RL_Conference is open! Find all the info at: https://t.co/fDE29BI2J0
📢 The Call for Papers for the IBRL workshop is now open! 🚀 🤖 Topics: abstractions and structured policies, generalization, relational biases and representations, biases for robotics, future directions, and more 🗓️ Submission Deadline: 30th May 2025, AoE 📙 Format: 4-8 pages
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📣Great News 🎉 Our Workshop on Inductive Biases in Reinforcement Learning (IBRL) @ibrlworkshop has been accepted @RL_Conference (RLC), 2025. Interested in submitting your paper or participating as a reviewer? Check our website for more details: https://t.co/xc3F923xzH
sites.google.com
About
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