Reinforcement Learning Summer School (RLSS) 2026
An intensive in-person summer school (June 3–12, 2026) exploring the foundations and frontiers of Reinforcement Learning, including multi-agent systems and LLMs. Eligibility: Master and PhD students with a background in machine learning. Post-docs and industry professionals pivoting to RL are also welcome. Tangible Benefit: Expert lectures, networking social events, and poster sessions for feedback. Scholarships based on financial, geographic, and gender criteria may be provided. DEADLINE: March 27, 2026.
Location : Milan, Italy
Categories : Computer Science . Machine Learning
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