centralized-gru centralized-mlp decentralized-gru decentralized-mlp concurrent-gru concurrent-mlp heuristic centralized-gru None 0.000001 1.244561e-04 3.725950e-07 None 2.741967e-07 7.556929e-10 centralized-mlp None NaN 9.068058e-10 1.913996e-03 None 2.822655e-09 7.745546e-02 decentralized-gru None NaN NaN 4.429615e-06 None 1.242145e-03 8.031091e-10 decentralized-mlp None NaN NaN NaN None 9.002403e-09 1.067955e-08 concurrent-gru None NaN NaN NaN None NaN NaN concurrent-mlp None NaN NaN NaN None NaN 8.534227e-10 heuristic None NaN NaN N
| using Flux | |
| qdim = 2 | |
| nn = Chain(Dense(qdim, 32, tanh), Dense(32, 2)); | |
| q = rand(2, 5); | |
| function jac(x) | |
| o = nn(x) | |
| return reduce(hcat, [o[:, i] for i in 1:size(x)[end]]) | |
| end |
| #!/usr/bin/env python3 | |
| # | |
| # File: test_dircol.py | |
| # | |
| import numpy as np | |
| import torch | |
| from optimalcontrol.dircolproblem import DIRCOLProblem | |
| from mechamodlearn import utils |
| using MuJoCo | |
| modelfile = "test/humanoid.xml" | |
| pm = mj_loadXML(modelfile) # Raw C pointer to mjModel | |
| pd = mj_makeData(pm) # Raw C pointer to mjData | |
| m, d = mj.mapmujoco(pm, pd) # wrap with our jlModel, jlData types | |
| # we can manipulate data in the raw C structs now | |
| nq = mj.get(m, :nq) |
| \newcommand{\ba}{\mathbf{a}} | |
| \newcommand{\bb}{\mathbf{b}} | |
| \newcommand{\bc}{\mathbf{c}} | |
| \newcommand{\bd}{\mathbf{d}} | |
| \newcommand{\be}{\mathbf{e}} | |
| \newcommand{\bg}{\mathbf{g}} | |
| \newcommand{\bh}{\mathbf{h}} | |
| \newcommand{\bi}{\mathbf{i}} | |
| \newcommand{\bj}{\mathbf{j}} | |
| \newcommand{\bk}{\mathbf{k}} |
| agents: | |
| - idx: 0 | |
| status: 1 | |
| rate: 1.0 | |
| learner: | |
| cls: SharedFFA3CLearner | |
| lidx: 0 | |
| - idx: 1 | |
| status: 1 | |
| rate: 1.0 |
| // ==UserScript== | |
| // @name GoodReads Review Management | |
| // @namespace FeepingCreature@github.com | |
| // @description Show/Hide reviews. State stored between site loads | |
| // @include */www.goodreads.com/* | |
| // @version 1 | |
| // @grant none | |
| // @require https://ajax.googleapis.com/ajax/libs/jquery/3.1.1/jquery.min.js | |
| // ==/UserScript== |
centralized-gru centralized-mlp decentralized-gru decentralized-mlp concurrent-gru concurrent-mlp heuristic centralized-gru None 0.003187 0.214810 7.582445e-09 None 1.323825e-07 1.440084e-02 centralized-mlp None NaN 0.000644 3.366814e-09 None 1.265880e-08 9.346047e-01 decentralized-gru None NaN NaN 8.029683e-09 None 1.549680e-07 4.337083e-03 decentralized-mlp None NaN NaN NaN None 2.739982e-02 1.774222e-08 concurrent-gru None NaN NaN NaN None NaN NaN concurrent-mlp None NaN NaN NaN None NaN 1.011512e-06 heuristic None NaN NaN
for fl in wgEncode*.broadPeak; do /afs/ir/class/cs273a/bin/overlapSelect -selectCoordCols=0,1,2 -inCoordCols=0,1,2 hg19.knownGene.codingExons.bed ${fl} “${fl}_observed_overlaps_coding.bed”; done for fl in wgEncode*.broadPeak; do /afs/ir/class/cs273a/bin/overlapSelect -selectCoordCols=0,1,2 -inCoordCols=0,1,2 wgEncodeAwgDnaseDukeOsteoblUniPk.narrowPeak ${fl} “${fl}_observed_overlaps_narrow.bed”; done
for hist in H3k27me3Pk blH3k36me3StdPk blH3k27acStdPk; do for i in $(seq 100); do /afs/ir/class/cs273a/bin/overlapSelect -selectCoordCols=0,1,2 -inCoordCols=0,1,2 hg19.knownGene.codingExons.bed “wgEncodeBroadHistoneOsteo${hist}.broadPeak_shuffle_${i}.bed” “${hist}_shuffle_${i}_coding_overlap.bed”; /afs/ir/class/cs273a/bin/overlapSelect -selectCoordCols=0,1,2 -inCoordCols=0,1,2 wgEncodeAwgDnaseDukeOsteoblUniPk.narrowPeak “wgEncodeBroadHistoneOsteo${hist}.broadPeak_shuffle_${i}.bed” “${hist}_shuffle_${i}_narrow_overlap.bed”; done; done