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Fatrop is a nonlinear optimal control problem solver that aims to be fast, support a broad class of optimal control problems and achieve a high numerical robustness.
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Distributed RL/IL code for Multi-Agent Path Finding (MAPF)
Library with search algorithms for task and path planning for multi robot/agent systems
Iterative Refinement for Real-Time Multi-Robot Path Planning (IROS-21)
Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*
Python implementation of a bunch of multi-robot path-planning algorithms.
An offline visualization tool for analysing solutions to multi-robot coordination problems.
simple multi-agent pathfinding (MAPF) visualizer for research usage
MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search
An efficient solver for lifelong Multi-Agent Path Finding
Codes for paper Integrated Task Assignment and Path Planning forCapacitated Multi-Agent Pickup and Delivery
A bounded-suboptimal solver for Multi-Agent Path Finding
Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding (AIJ-22)
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
Source code for the decentralized car-like robotic swarm
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers
An implementation of the Augmented Random Search algorithm
Kojoley / atari-py
Forked from openai/atari-pyAn `openai/atari-py` fork with Windows support and removed zlib/libpng dependencies. Binaries (wheels) are on "Releases" tab.
A minimalist environment for decision-making in autonomous driving
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)