molumitu

coord_trans

crossroad_mpc

Mix-Multinomial-Model

Pontryagin-Differentiable-Programming

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.

RL_CleanRobot

Text-analysis-of-the-national-aesthetic-education-policy

Tsinghua_render

CAGrad

Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)

D4RL

A collection of reference environments for offline reinforcement learning

GOPS

General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning solver package for industrial control.

mjrl

Reinforcement learning algorithms for MuJoCo tasks

PRDC

Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D4RL gym and AntMaze tasks.

SFT-PG