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Found 3 papers, 1 papers with code
Towards Continual Reinforcement Learning for Quadruped Robots
Quadruped robots have emerged as an evolving technology that currently leverages simulators to develop a robust controller capable of functioning in the real-world without the need for further training.
Depth self-supervision for single image novel view synthesis
In this paper, we tackle the problem of generating a novel image from an arbitrary viewpoint given a single frame as input.
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision Making
Robust coordination skills enable agents to operate cohesively in shared environments, together towards a common goal and, ideally, individually without hindering each other's progress.
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