ashish1610dhiman
/
learning_norms_with_mcmc_from_pcfg_IJCAI21
mirror of https://github.com/ashish1610dhiman/learning_norms_with_mcmc_from_pcfg_IJCAI21.git


  
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            meta: >-
  Same as exp 9, but with longer chains (len 1000 after warm-up removal and splitting).
  Same observations as exp 9 (not regenerated)
  5 block task, no E0 no-norm ll filter, no-norm in grammar and prod. probs. changed; more generic obligation (1 moved conditions, mostly 'any') + permission norms; 50 observations
env_name: default
colour_specific: ['r', 'g', 'b']
shape_specific: ['square', 'circle', 'triangle']
target_area: -0.8, 0.7 ; 0.25, 0.99
true_norm:
  name: default
  exp:  ['Norms', ['Obl', ['Moved', ['Colour', 'r'], ['Shape', 'any'], ['Zone', '1'], ['Next-Move', ['Colour', 'any'], ['Shape', 'any']]], ['Zone', '2']], ['Per', ['Action', 'putdown'], ['Colour', 'any'], ['Shape', 'square'], ['PerZone', '3']]]
num_observations: 100 #Times to generate observations for task
obs_data_set: 1
n: 1000 #Length of sequence after discarding warm-up part and splitting in half
m: 10 #Number of sequences after splitting in half
rf: 0.6
rhat_step_size: 50