Christian Gumbsch

4 papers · 2021–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13)

Venues

CLeaR (1) ICLR (1) ICML (1) NeurIPS (1)

Top co-authors

Martin V. Butz (3) Georg Martius (3) Andrii Zadaianchuk (1) Pavel Kolev (1) Charley M Wu (1) Noor Sajid (1) Cansu Sancaktar (1) Turan Orujlu (1)

Research topics

Artificial Intelligence (4) Reinforcement Learning (4) Core AI (4) Methods (3) Deep Learning (2) Machine Learning (1) Robotics (1) Applications (1) Architectures (1) Capabilities (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

world model (3) multi-agent reinforcement learning (1) reinforcement learning (1) causal discovery (1) sparse representation (1) partially observable domains (1) model-based reinforcement learning (1) temporal abstraction (1) exploration policy (1) recurrent neural network (1) inductive bia (1) vision-language model (1) latent dynamics (1) latent state (1) semantic reward (1) time-varying graph (1) model-based rl (1) causal process model (1) model-based planning (1) interestingness (1)

Papers

Causal Process Models: Reframing Dynamic Causal Graph Discovery as a Reinforcement Learning Problem CLeaR 2026 SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models ICML 2025 Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics ICLR 2024 Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains NeurIPS 2021