D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.
-
Updated
Oct 18, 2023 - Python
#
bc
Here are 8 public repositories matching this topic...
SwapTransformer: Highway Overtaking Tactical Planner Model via Imitation Learning on OSHA Dataset
dataset transformer self-driving-car behavioral-cloning highway autonomous-driving autonomous-vehicles imitation-learning bc lane-change
-
Updated
Jan 5, 2024 - Python
c99/Python frameworks to solve ODEs using arbitrary order Power Series Method (arbitrary precision with GNU MPFR), validate solutions using Clean Numerical Simulation, and plot bifurcation diagrams. Plus n-body simulations using composed symplectic integrators. OpenGL (legacy) 3D plotting. No Wayland support, for ever, and no "a1".
python opengl c99 bc mpfr symplectic-integration chaos-scanning clean-numerical-simulation power-series-method
-
Updated
Dec 17, 2025 - Python
Offline Reinforcement Learning Framework
-
Updated
Aug 3, 2025 - Python
Implement of Behavior Cloning (BC) and Conservative Q-Learning (CQL) algorithms for training reinforcement learning models using a dataset of state-action pairs. It provides an environment for experimenting with these algorithms, comparing their performance, and analyzing the effects of different parameters and dataset variations on training result
-
Updated
Jan 17, 2025 - Python
CLI Calculator with matrices transformations, functions/equations solver, complex numbers...
-
Updated
Nov 21, 2025 - Python
Improve this page
Add a description, image, and links to the bc topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the bc topic, visit your repo's landing page and select "manage topics."