Phd Bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning
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Phd Bibliography653
2 years ago2
References on Optimal Control, Reinforcement Learning and Motion Planning
Dojo.jl237
8 months ago21mitJulia
A differentiable physics engine for robotics
Diffusion Literature For Robotics225
3 months agomit
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
Pontryagin Differentiable Programming123
6 months agomitPython
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
Adam82
3 months ago6bsd-3-clausePython
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
Awesome Decision Making Reinforcement Learning37
4 years agomit
A selection of state-of-the-art research materials on decision making and motion planning.
Learn To Calibrate13
2 years agoC++
We utilize deep reinforcement learning to obtain favorable trajectories for visual-inertial system calibration.
Flying Cavalry11
3 years ago75mitPython
Flying Cavalry Project - Ucan Kavalye Projesi
Hospitalbot Path Planning10
7 months agoPython
This repository contains an application using ROS2 Humble, Gazebo, OpenAI Gym and Stable Baselines3 to train reinforcement learning agents for a path planning problem.
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