Index

A

Agent (class in pymdp.agent)

average_states_over_policies() (in module pymdp.inference)

C

calc_expected_utility() (in module pymdp.control) calc_pA_info_gain() (in module pymdp.control)

calc_pB_info_gain() (in module pymdp.control) calc_states_info_gain() (in module pymdp.control) construct_policies() (in module pymdp.control)

E

Env (class in pymdp.envs)

G

get_expected_obs() (in module pymdp.control) get_expected_states() (in module pymdp.control)

get_future_qs() (pymdp.agent.Agent method) get_num_controls_from_policies() (in module pymdp.control)

I

infer_policies() (pymdp.agent.Agent method)

infer_states() (pymdp.agent.Agent method)

M

module pymdp.algos.fpi pymdp.algos.mmp pymdp.control pymdp.inference pymdp.learning

P

pymdp.algos.fpi module pymdp.algos.mmp module pymdp.control module

pymdp.inference module pymdp.learning module

R

reset() (pymdp.agent.Agent method)

run_mmp() (in module pymdp.algos.mmp) run_vanilla_fpi() (in module pymdp.algos.fpi)

S

sample_action() (in module pymdp.control) (pymdp.agent.Agent method) sample_policy() (in module pymdp.control)

select_highest() (in module pymdp.control) set_latest_beliefs() (pymdp.agent.Agent method) step_time() (pymdp.agent.Agent method)

U

update_A() (pymdp.agent.Agent method) update_B() (pymdp.agent.Agent method) update_D() (pymdp.agent.Agent method) update_obs_likelihood_dirichlet() (in module pymdp.learning) update_posterior_policies() (in module pymdp.control)

update_posterior_policies_full() (in module pymdp.control) update_posterior_states() (in module pymdp.inference) update_posterior_states_full() (in module pymdp.inference) update_state_likelihood_dirichlet() (in module pymdp.learning) update_state_prior_dirichlet() (in module pymdp.learning)