jtbish

Pinned Repositories

piecewise
Michigan-style Learning Classifier Systems for Reinforcement Learning
Language:Python61
ppsn2020
Supporting code for PPSN 2020 paper: "Optimality-based Analysis of XCSF Compaction in Discrete Reinforcement Learning"
Language:Python20
concave-hull-python
Language:Python10
rlenvs
Language:Python10
xcsf-experiments
Language:Python10
xcsfrl
Language:Python11
dotfiles
Language:Vim Script00
fuzzy-inference
Language:Python01
fuzzy-mococo
Language:Python00
gecco22
00

jtbish's Repositories

jtbish/xcssl
Language:Python
jtbish/ppsn2020
Supporting code for PPSN 2020 paper: "Optimality-based Analysis of XCSF Compaction in Discrete Reinforcement Learning"
Language:Python2
jtbish/rlenvs
Language:Python1
jtbish/zadeh
Language:Python
jtbish/fuzzy-mococo
Language:Python
jtbish/thesis-code
jtbish/gecco22
jtbish/pplst-experiments
Language:Python
jtbish/pplst
Language:Python
jtbish/ppl
Language:Python
jtbish/ppl-experiments
Language:Python
jtbish/xcsf-experiments
Language:Python1
jtbish/xcsfm
Language:Python
jtbish/xcsfrl
Language:Python11
jtbish/concave-hull-python
Language:Python1
jtbish/gym
A toolkit for developing and comparing reinforcement learning algorithms.
jtbish/ppl-da
Language:Python
jtbish/dotfiles
Language:Vim script
jtbish/piecewise
Michigan-style Learning Classifier Systems for Reinforcement Learning
Language:Python61
jtbish/fuzzy-inference
Language:Python1
jtbish/website
Language:HTML
jtbish/stable-baselines-wiener
Running stable-baselines on Wiener using Singularity
Language:Python