Maximilian Karl

3 papers · 2023–2024 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13)

Venues

NeurIPS (2) L4DC (1)

Top co-authors

Patrick van der Smagt (3) Philip Becker-Ehmck (2) Xingyuan Zhang (1) Elie Aljalbout (1) Marvin Alles (1)

Research topics

Reinforcement Learning (3) Deep Learning (2) Machine Learning (2) Applications (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Methods (2) Artificial Intelligence (1) Core Methods (1) Learning Paradigms (1) Models (1)

Keywords

reinforcement learning (1) zero-shot learning (1) sample efficiency (1) offline reinforcement learning (1) imitation learning (1) policy optimization (1) variational inference (1) constrained optimization (1) model-based reinforcement learning (1) generative model (1) world model (1) latent action (1) zero-shot imitation (1) multi-agent system (1) action inference (1) multi-robot manipulation (1) latent action space (1) dual-arm manipulation (1) constrained policy learning (1)

Papers

Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NeurIPS 2024 Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models NeurIPS 2023 CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces L4DC 2023