Structured Techniques for Algorithmic Robotics (STAR) Lab's repositories
constrained-rl-dexterous-manipulation
IJCAI 2022 1st Safe RL Workshop paper
corrective-demos-dexterous-manipulation
HRI 2022 Workshop Paper
gt-star-lab.github.io
Structured Techniques for Algorithmic Robotics (STAR) Lab at Georgia Tech. PI: Harish Ravichandar
MARBLER-CA
MARBLER for Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities
Resource-Aware-Generalization
AAMAS 2022 - Extended Abstract
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.
JaxMARL_MARBLER
Multi-Agent Reinforcement Learning with JAX - Forked to add MARBLER
K-CBS-Expert
Expert of the K-CBS algorithm we're planning to use for our VMAS environment
risk_adaptive_task_allocation
IROS 2021 Paper
trait_weight_optimization
AAMAS 2023 - Extended Abstract
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.