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Found 4 papers, 1 papers with code
Expanding Versatility of Agile Locomotion through Policy Transitions Using Latent State Representation
Next, we expand the versatility of the robot by unifying the policies with robust transitions into a single coherent meta-controller by examining the latent state representations.
Streamlined Framework for Agile Forecasting Model Development towards Efficient Inventory Management
This paper proposes a framework for developing forecasting models by streamlining the connections between core components of the developmental process.
Transition Motion Tensor: A Data-Driven Approach for Versatile and Controllable Agents in Physically Simulated Environments
This paper proposes the Transition Motion Tensor, a data-driven framework that creates novel and physically accurate transitions outside of the motion dataset.
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion
Motion synthesis in a dynamic environment has been a long-standing problem for character animation.
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