Structured Techniques for Algorithmic Robotics (STAR) Lab
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GRSTAPS
GRSTAPS PublicForked from amessing/grstaps
Graphically Recursive Simultaneous Task Allocation, Planning, and Scheduling (IJRR 2022)
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- gt-star-lab.github.io Public
Structured Techniques for Algorithmic Robotics (STAR) Lab at Georgia Tech. PI: Harish Ravichandar
GT-STAR-Lab/gt-star-lab.github.io’s past year of commit activity - VectorizedMultiAgentSimulator Public Forked from proroklab/VectorizedMultiAgentSimulator
VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
GT-STAR-Lab/VectorizedMultiAgentSimulator’s past year of commit activity - JaxMARL_MARBLER Public Forked from FLAIROx/JaxMARL
Multi-Agent Reinforcement Learning with JAX - Forked to add MARBLER
GT-STAR-Lab/JaxMARL_MARBLER’s past year of commit activity - K-CBS-Expert Public Forked from aria-systems-group/K-CBS-Demos
Expert of the K-CBS algorithm we're planning to use for our VMAS environment
GT-STAR-Lab/K-CBS-Expert’s past year of commit activity - Continuous-CBS Public Forked from PathPlanning/Continuous-CBS
Continuous CBS - a modification of conflict based search algorithm, that allows to perform actions (move, wait) of arbitrary duration. Timeline is not discretized, i.e. is continuous.
GT-STAR-Lab/Continuous-CBS’s past year of commit activity
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