v4.4.0

v4.4.0, 2018-10-30

2 new strategies and internal refactoring.

• Clean citations of library
  #1221
  #1220
• Fix numpy depreciation warnings
  #1218
• Code refactoring
  #1204
  #1205
  #1206
  #1208
  #1210
  #1212
  #1216
  #1219
• Two new strategies
  #1215

v4.4.0...v4.3.0

v4.3.0

v4.3.0, 2018-08-30

Big code base cleanup, ability to pass a fitness transform to the Moran process,
minor bug fixes.

• Use black and isort on entire library:
  #1203
• Refactor of actions modules:
  #1193
• Refactor of deterministic cache, ecosystem and eigen:
  #1197
  #1195
• Refactor strategy utils module:
  #1196
• Order Actions: #1199
• Add ability to pass fitness transformation to Moran process:
  #1198
• Add a matplotlibrc for testing purposes:
  #1194
  #1191
• Add a page of citations: #1188
• Fix bug in lookerup players:
  #1190
• Fix bug in graphs: #1189
• Tweak a random test seed: #1201

v4.3.2...v4.2.2

v4.2.2

v4.2.2, 2018-07-30

Update of training weights for neural network strategy

• Add an upper bound for a dependency version
  #1182

v4.2.2...v4.2.1

v4.2.1

v4.2.1, 2018-07-09

Minor internal fixes.

• Add an upper bound for a dependency version
  #1184
• Add a long markdown description for pypi
  #1179

v4.2.1...v4.2.0

v4.2.0

v4.2.0, 2018-05-25

New strategies and minor internal fixes.

• Add implementation of generic memory 2 strategy and 2 new strategies
  #1171
• Add Tricky Level Punisher
  #1178
• Remove unneeded code
  #1173
• Fix type hints to work with mypy 2.1
  #1177

v4.2.0...v4.1.0

v4.1.0

v4.1.0, 2018-03-15

New strategy

• Implemented Mikkelson (k66r)
  #1167

v4.1.0...v4.0.0

v4.0.0

v4.0.0, 2018-02-07

More efficient tournament result analysis, and 2 new strategies.

• Implemented RichardHufford (k47r)
  #1162
• Implemented Yamachi (k64r)
  #1163
• Implemented Colbert (k51r)
  #1164
• Re write the result set
  #1166

v4.0.0...v3.11.0

v3.11.0

v3.11.0, 2018-01-09

A number of strategies from Axelrod's original second tournament, new tests and
minor documentation changes.

• Implemented GraaskampKatzen (k60r)
  #1144
• Implemented Weiner (k41r)
  #1145
• Implemented Harrington (k75r)
  #1146
• Implemented MoreTidemanAndChieruzzi (k84r)
  #1147
• Implemented Getzler (k35r) strategy
  #1151
• Implemented Leyvraz (k86r) strategy
  #1153
• Implemented White (k72r) strategy
  #1154
• Implemented Black (k83r) strategy
  #1155
• Add a test for memory depth
  #1157
• Fix implementation of TidemanAndChieruzzi
  #1152
• Modify implementation of strategy
  #1143
• Update python version requirements
  #1158
• Add citations section to README
  #1148
  #1150

v3.11.0...v3.10.0

v3.10.0

v3.10.0, 2017-11-27

One new strategy

• Add the WmAdams strategy:
  #1142

Here are all the commits for this PR:
v3.10.0...v3.9.0

v3.9.0

v3.9.0, 2017-10-13

New strategies, a minor bug fix and a small documentation improvement.

• Add the Bush Mosteller strategy
  #1002
• Add k42r from Fortran code
  #1135
• Add MemoryDecay
  #1137
• Add k32r from Fortran code
  #1138
• Add Random Tit For Tat
  #1136
• Add k42r from Fortran code
  #1139
• Add reference to documentation
  #1134
• Fix minor bug in the fingerprints
  #1140

Here are all the commits for this PR:
v3.9.0...v3.8.1