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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

O. Arenz

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3 papers indexed here

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Preprint Oct 2026

Continue, Abort, or Fall: Viability-Aware Policy Selection (VAPS) for Safe Humanoid Acrobatics

Dynamic humanoid motions such as flips risk hardware damage due to suboptimal policies, disturbances or sim-to-real gaps. A motion tracking policy offers no way out once the maneuver leaves its reference, and a backup policy needs to take over to protect the hardware for a minimum-damage landing. Which backup to use ma...

Si-Wei Ju, Lu Liu, Jan Peters et al. · 0 citations
Review Sep 2026

Embedding Physics Priors in Robot Learning: A Survey

The rapid progress of artificial intelligence is reshaping robotics and accelerating the adoption of learning-based approaches. While purely data-driven methods have achieved remarkable success in computer vision and natural language processing, robotics remains constrained by limited data, complex real-world interacti...

Mattia Piccinini, L. Schulze, Alice Plebe et al. · 0 citations
#machine learning Sep 2022

Rollout Total Correlation for Deep Reinforcement Learning

This paper investigates how to learn representations by maximizing the rollout total correlation, the correlation among all learned representations and actions within the trajectories produced by the agent, and proposes an intrinsic reward based on the learned representation for better exploration.

Bang You, Hua-Ping Liu, Jan Peters et al. · 3 citations · ⚡1

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