dtbinh

A-_Guide_-to_Data_Sciecne_from_mathematics

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

awesome-llm-interpretability

A curated list of Large Language Model (LLM) Interpretability resources.

Chess-Movement-Simulator-CLF-CBF

Dynamic chess piece movement simulator using Control Lyapunov Functions (CLF) and Control Barrier Functions (CBF). Focused on path planning and obstacle avoidance, it explores non-traditional chess movements for robotics and game theory applications

Complete-Machine-Learning-

This repository contains everything you need to become proficient in Machine Learning

crocoddyl

Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms

DiffSafeControl

Code for "Differentiable Safe Controller Design through Control Barrier Functions"

Dynamic-Obstacle-Avoidance-of-Fixed-wing-Aircraft-in-Final-Phase-via-Reinforcement-Learning

dynamic_obstacle_avoidance

dynamic_obstacle_avoidance_using_reinforcement_learning

EconCBF

Optimal Control Theory and Control Barrier Functions applied to Economics and Finance

follow-ahead-ros

gatekeeper

Repo accompanying paper on Gatekeeper Algorithm

grid_map

Universal grid map library for mobile robotic mapping

ha_planner

This planner plans the hardware-optimized path between two way points

ICRL-benchmarks-public

learning-safety-in-mpc-based-rl

Safety-aware MPC-based RL framework

LS-MCPP

code with the AAAI'24 paper - "Large-Scale Multi-Robot Coverage Path Planning via Local Search"

MIP-MCPP

code with the RA-L'23 paper - "Mixed Integer Programming for Time-Optimal Multi-Robot Coverage Path Planning with Heuristics"

ML-Papers-of-the-Week

🔥Highlighting the top ML papers every week.

mpc-reinforcement-learning

Reinforcement Learning with Model Predictive Control

nonlinear_obstacle_avoidance

Obstacle avoidance around linear and nonlinear dynamics.

openmht

Python module for multiple hypothesis tracking.

pCBF

pCBF is a MOOS application for adding control-barrier function to MOOS-IvP simulations and deployments.

PGS

Policy Guided Search for offline model-based optimization

quad-swarm-rl

Additional environments compatible with OpenAI gym

SACHA

Safe-Policy-Optimization

NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms

saferl_kit

social-itl

tdmpc

Code for "Temporal Difference Learning for Model Predictive Control"