I am in Seoul at ICML to present our newest paper "Commit to the Bit: Reactive Reinforcement Learning Done Right". We show that finding reactive policies in POMDPs is easier than previously thought and that the ubiquitous 𝑞⋆-realizability assumption is stronger than necessary. 🧵
Who's Who of AI
Onno Eberhard
Why they matter
Directory member with public evidence across Agents & robotics.
- AI signals
- 0 past 30d
- Sources
- 0 distinct domains
- Discussões
- 1 past 30d
- Latest signal
- —
PhD Student in Tübingen (MPI-IS & Uni Tü), interested in reinforcement learning. Freedom is a pure idea. https://onnoeberhard.com/
Their own posts
Recent commentary
Their network
In Onno Eberhard's orbit
Center = Onno Eberhard. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.