initial commit, random exploration
taxic behavior implemented
taxic with values
comments and angle eps added
absolute actions
passive ql + plotting
some improvements towards multistate
multi state ql converging
parallel ql
8 neighbours ventral contributing both to value and action values, seems to work better than normal on 4 individuals
working version that produced 100trialsmlql. Ventrals are 8 neighbours, they do contribute to action selection and they dont fire if they hit a wall
graphics using graphics instead of ggplot2, works faster
added four places and negative rewards, converged once
Actor critic working without taxic value integration
clumsy learner with actor critic multi-state, but reaches any feeder
Actor critic seems to converge, updating to include normal ql as opponent
msac working, about to test against normal ql
extra changes for parallel execution
after execution plot and data
vision for both, ql vs msac