Release Version 16.3.0 · gambitproject/gambit

Implemented maximum-likelihood estimation for agent logit QRE, to parallel existing support
for strategic logit QRE. Strategic logit QRE function names have been modified to provide
parallel naming. Estimation using the correspondence now supports an option to stop at the
first interior local maximizer found (if one exists).
Maximum-likelihood estimation for logit QRE using empirical payoffs has an improved internal
calculation of log-likelihood, and returns the estimated profile instead of just a list of
probabilities.
Reorganized naming conventions in pygambit for functions for computing QRE in both strategic
and agent versions, and added a corresponding section in the user guide.
enumpoly_solve has been returned to being fully supported from temporarily being experimental;
now available in pygambit.
enumpoly_solve for strategic games now uses the Porter, Nudelman, and Shoham (2004) ordering
of supports to search.
to_arrays converts a Game to a list of numpy arrays containing its reduced strategic form.
(#461)
Integrated support (in Python) for using PHCpack to solve systems of polynomial equations in
enumpoly_solve based on an implementation formerly in the contrib section of the
repository. (#165)
New format-specific functions pygambit.read_* and pygambit.Game.to_* functions have been
added to (de-)serialise games. The existing Game.read_game and Game.write functions have
been deprecated and will be removed in 16.4. (#357)

The built-in implementation of lrslib (dating from 2016) has been removed. Instead, access to
lrsnash is provided as an external tool via the enummixed_solve function, in parallel to
PHCpack for enumpoly_solve.

When parsing .nfg files, check that the number of outcomes or payoffs is the expected number,
and raise an exception if not. (#119)

Game.write() no longer supports generation of the XML-format files for Game Theory
Explorer, as GTE no longer reads files in this format.

Provide feedback