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Found 6 papers, 4 papers with code
Morphological Symmetries in Robotics
We present a comprehensive framework for studying and leveraging morphological symmetries in robotic systems.
On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis
We present a comprehensive study on discrete morphological symmetries of dynamical systems, which are commonly observed in biological and artificial locomoting systems, such as legged, swimming, and flying animals/robots/virtual characters.
A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehicles
Underwater target localization using range-only and single-beacon (ROSB) techniques with autonomous vehicles has been used recently to improve the limitations of more complex methods, such as long baseline and ultra-short baseline systems.
TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems
Coordination is one of the most difficult aspects of multi-agent reinforcement learning (MARL).
An Adaptable Approach to Learn Realistic Legged Locomotion without Examples
We present experimental results showing that even in a model-free setup and with a simple reactive control architecture, the learned policies can generate realistic and energy-efficient locomotion gaits for a bipedal and a quadrupedal robot.
Coin_flipper at eHealth-KD Challenge 2019: Voting LSTMs for Key Phrases and Semantic Relation Identification Applied to Spanish eHealth Texts
This paper describes our approach presented for the eHealth-KD 2019 challenge.
