mike-gimelfarb Goto Github PK

bayesian-epsilon-greedy

Public repository for a paper in UAI 2019 describing adaptive epsilon-greedy exploration using Bayesian ensembles for deep reinforcement learning.

bayesian-experience-reuse

Appendix for the IJCAI 2021 submission entitled "Bayesian Experience Reuse for Learning from Multiple Demonstrators"

bayesian-reward-shaping

Bayesian Reward Shaping Framework for Deep Reinforcement Learning

cascade-correlation-neural-networks

A general framework for cascade correlation architectures in Python with wrappers to keras, tensorflow and sklearn

cocoa

Large suite of algorithms for black-box optimization in C++ with python wrappers.

contextual-policy-reuse-deep-rl

Framework for Contextually Transferring Knowledge from Multiple Source Policies in Deep Reinforcement Learning

deep-successor-features-for-transfer

A reusable framework for successor features for transfer in deep reinforcement learning using keras.

icaps2024exp

Experiments for ICAPS 2024

linesearches.jl

Line search methods for optimization and root-finding

mfpy

A very simple framework for solving MDPs using model-free reinforcement learning.

mike-gimelfarb

numerical-integration

a curated collection of algorithms for performing numerical integration of black-box functions and estimating limits of series and sequences with high precision in Java

optim4j

Library for numerical optimization of functions written in pure Java.

recession-predictor

Project description: https://medium.com/p/recession-prediction-using-machine-learning-de6eee16ca94?source=email-2adc3d3cd2ed--writer.postDistributed&sk=2f1dab9738769f9658634e61576a08bd