AaronHavens's Stars
kentaroy47/vision-transformers-cifar10
Let's train vision transformers (ViT) for cifar 10!
araujoalexandre/Lipschitz-SLL-Networks
MilesCranmer/sympy2jax
Turning SymPy expressions into JAX functions
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
tqdm/tqdm
:zap: A Fast, Extensible Progress Bar for Python and CLI
LQNew/Continuous_Control_Benchmark
Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.
sebastian-east/sos-imitation-learning
The implementation of the code from the paper `Imitation Learning of Stabilizing Policies for Nonlinear Systems'.
BlueRiverTech/quanser-openai-driver
OpenAI Gym wrapper for the Quanser Qube and Quanser Aero
petderek/go-gravatar
simple cli for pulling avatars
cagrell/gp_constr
Python model for constrained GP
steindoringi/Variational_Integrator_Networks
caseychu/normal-distribution-manifold
Click and drag on this demo!
sisl/variational_koopman
Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" from IJCAI 2019.
ferreirafabio/mppi_pendulum
The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Learning" (Williams et al., 2017) for the pendulum OpenAI Gym environment
vdorobantu/lyapy
Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.
xqding/TD-VAE
Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)
openai/mlsh
Code for the paper "Meta-Learning Shared Hierarchies"
AtsushiSakai/PyAdvancedControl
Python codes for advanced control
rll/rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms