JoeMWatson

input-inference-for-control

Input Inference for Control (i2c), a control-as-inference framework for optimal control

monte-carlo-posterior-policy-iteration

Gibbs posteriors for sample-based optimization, policy search and model predictive control

ncp

Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors

sheepdog

4M20 Project

arduino-library-braccio

Arduino Braccio Library

Bayesian_NN_Ensembles

AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'

belief-matching-framework

Belief matching framework official implementation

BIRLdeepGrasp

IIB Project: Vision-based Learning for Robotic Grasping

blog

online journal

gym

A toolkit for developing and comparing reinforcement learning algorithms.

brax

Massively parallel rigidbody physics simulation on accelerator hardware.

imitation-dice

jackal

A very lightweight & responsive theme for Jekyll

jaxrl2

JoeMWatson

Config files for my GitHub profile.

JoeMWatson.github.io

Blog

mbpsrl

Code for "Model-based Reinforcement Learning for Continuous Control with Posterior Sampling", ICML 2021

mj_envs

A collection of MuJoCo based environments.

mujoco_mpc

Real-time behaviour synthesis with MuJoCo, using Predictive Control

PriorNetworks

Processing

Processing scripts

pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

SMODICE

Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML 2022)

trajopt

A toolbox for trajectory optimization of dynamical systems