Pinned Repositories
AaronHavens.github.io
alpha-beta-depth-cutoff
Reversie/Othello alpha-beta game playing agent
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
binomialDist
Toy binomial distributions and experiements
ExploitingLipschitzDEQ
Supplementary codes for the Neurips 2023 paper: Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models
FlowMatching
A repo where I play with conditional flow approaches for learning time-varying vector-fields.
Follow_me
Controls team repo for autonomous vehicle following.
safe_rl
DRL prototyping in chainer and gym
structure_learning
Implementation of k2 structure learning for bayesian nets.
td_vae
Implementation of TD VAE from Gregor et al 2018
AaronHavens's Repositories
AaronHavens/structure_learning
Implementation of k2 structure learning for bayesian nets.
AaronHavens/FlowMatching
A repo where I play with conditional flow approaches for learning time-varying vector-fields.
AaronHavens/safe_rl
DRL prototyping in chainer and gym
AaronHavens/ExploitingLipschitzDEQ
Supplementary codes for the Neurips 2023 paper: Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models
AaronHavens/Follow_me
Controls team repo for autonomous vehicle following.
AaronHavens/td_vae
Implementation of TD VAE from Gregor et al 2018
AaronHavens/AaronHavens.github.io
AaronHavens/alpha-beta-depth-cutoff
Reversie/Othello alpha-beta game playing agent
AaronHavens/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
AaronHavens/binomialDist
Toy binomial distributions and experiements
AaronHavens/chainer
A flexible framework of neural networks for deep learning
AaronHavens/Chainer_MLAH
More portable version of prevous multi-task algo MLAH
AaronHavens/CS472
Where I keep all of my Artificial Intelligence junk
AaronHavens/Forced-Variational-Integrator-Networks
deep soft arm mpc
AaronHavens/group-invariant-attitude-estimation
AaronHavens/gym
A toolkit for developing and comparing reinforcement learning algorithms.
AaronHavens/HavensHashing
Implementation of generically typed hashmap using linear probing
AaronHavens/IL_MPC
AaronHavens/index_stability
AaronHavens/LoFAST
Coming soon
AaronHavens/lqr_pg
AaronHavens/NBA-Player-Movements
🏀 Visualization of NBA games from raw SportVU data logs
AaronHavens/neural_lander_sim_1d
A simple 1d simulator for the "Neural-Lander" paper, ICRA 2019
AaronHavens/nonlinear-induced-gains
python implementation of a power-iteration method for computing the L2 induced gain of a nonlinear system.
AaronHavens/Reinforcement-Learning
Reinforcement learning off-policy for small and large MDPs.
AaronHavens/RobustROALearning
AaronHavens/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
AaronHavens/vision-transformers-cifar10
Modify for orthogonal training