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How to use actions method in Selene

Best Python code snippet using selene_python

centralized_categorical_lstm_policy.py

Source:centralized_categorical_lstm_policy.py

...130        masked_probs = masked_probs * torch.Tensor(avail_actions_n) # mask131        masked_probs = masked_probs / masked_probs.sum(axis=-1, keepdims=True) # renormalize132        masked_dists_n = Categorical(probs=masked_probs) # redefine distribution133        return masked_dists_n134    def get_actions(self, obs_n, avail_actions_n, greedy=False):135        """Independent agent actions (not using an exponential joint action space)136            137        Args:138            obs_n: list of obs of all agents in ONE time step [o1, o2, ..., on]139            E.g. 3 agents: [o1, o2, o3]140        """141        with torch.no_grad():142            dists_n = self.step_forward(obs_n, avail_actions_n)143            if not greedy:144                actions_n = dists_n.sample().numpy()145            else:146                actions_n = np.argmax(dists_n.probs.numpy(), axis=-1)147            agent_infos_n = {}148            agent_infos_n['action_probs'] = [dists_n.probs[i].numpy() ...

dec_categorical_lstm_policy.py

Source:dec_categorical_lstm_policy.py

...129        masked_probs = masked_probs * torch.Tensor(avail_actions_n) # mask130        masked_probs = masked_probs / masked_probs.sum(axis=-1, keepdims=True) # renormalize131        masked_dists_n = Categorical(probs=masked_probs) # redefine distribution132        return masked_dists_n133    def get_actions(self, obs_n, avail_actions_n, greedy=False):134        """Independent agent actions (not using an exponential joint action space)135            136        Args:137            obs_n: list of obs of all agents in ONE time step [o1, o2, ..., on]138            E.g. 3 agents: [o1, o2, o3]139        """140        with torch.no_grad():141            dists_n = self.step_forward(obs_n, avail_actions_n)142            if not greedy:143                actions_n = dists_n.sample().numpy()144            else:145                actions_n = np.argmax(dists_n.probs.numpy(), axis=-1)146            agent_infos_n = {}147            agent_infos_n['action_probs'] = [dists_n.probs[i].numpy() ...

dicg_ce_categorical_lstm_policy.py

Source:dicg_ce_categorical_lstm_policy.py

...118        masked_probs = masked_probs * torch.Tensor(avail_actions_n) # mask119        masked_probs = masked_probs / masked_probs.sum(axis=-1, keepdims=True) # renormalize120        masked_dists_n = Categorical(probs=masked_probs) # redefine distribution121        return masked_dists_n, attention_weights122    def get_actions(self, obs_n, avail_actions_n, greedy=False):123        """Independent agent actions (not using an exponential joint action space)124            125        Args:126            obs_n: list of obs of all agents in ONE time step [o1, o2, ..., on]127            E.g. 3 agents: [o1, o2, o3]128        """129        with torch.no_grad():130            dists_n, attention_weights = self.step_forward(obs_n, avail_actions_n)131            if not greedy:132                actions_n = dists_n.sample().numpy()133            else:134                actions_n = np.argmax(dists_n.probs.numpy(), axis=-1)135            agent_infos_n = {}136            agent_infos_n['action_probs'] = [dists_n.probs[i].numpy() ...

tree-massactions.test.js

Source:tree-massactions.test.js

...22            });23        });24        describe('check initObservable', function () {25            it('by default will set visible for all action where exist actions', function () {26                expect(model.actions()[0].visible).toBeDefined();27                expect(model.actions()[0].visible()).toBeFalsy();28            });29            it('check when actions is absent', function () {30                model.actions([{31                    type: 'delete'32                }]);33                model.initObservable();34                expect(model.actions()[0].visible).toBeUndefined();35            });36            it('check nested level actions', function () {37                model.actions()[0].actions[0].actions = [{38                    type: 'delete'39                }];40                model.initObservable();41                expect(model.actions()[0].actions[0].visible).toBeDefined();42                expect(model.actions()[0].actions[0].visible()).toBeFalsy();43            });44            it('check reference to parent object', function () {45                expect(model.actions()[0].parent).toBe(model.actions());46            });47        });48        describe('check recursiveObserveActions', function () {49            it('set visible for all action where exist actions', function () {50                var actions = [{51                    type: 'availability',52                    actions: [{53                        type: 'delete'54                    }]55                }];56                model.recursiveObserveActions(actions);57                expect(actions[0].visible).toBeDefined();58                expect(actions[0].visible()).toBeFalsy();59            });60            it('check when actions is absent', function () {61                var actions = [{62                    type: 'delete'63                }];64                model.recursiveObserveActions(actions);65                expect(actions[0].visible).toBeUndefined();66            });67            it('check nested level actions', function () {68                var actions = [{69                    type: 'availability',70                    actions: [{71                        type: 'delete',72                        actions: [{73                            type: 'safely'74                        }]75                    }]76                }];77                model.recursiveObserveActions(actions);78                expect(actions[0].actions[0].visible).toBeDefined();79                expect(actions[0].actions[0].visible()).toBeFalsy();80            });81            it('check reference to parent object', function () {82                var actions = [{83                    type: 'availability',84                    actions: [{85                        type: 'delete'86                    }]87                }];88                model.recursiveObserveActions(actions);89                expect(actions[0].parent).toBe(actions);90            });91        });92        it('check getAction', function () {93            expect(model.getAction('availability')).toBe(model.actions()[0]);94            expect(model.getAction('availability.enable')).toBe(model.actions()[0].actions[0]);95            expect(model.getAction('absent')).toBeFalsy();96        });97        describe('check hideSubmenus', function () {98            it('with class actions', function () {99                model.actions()[0].visible(true);100                expect(model.actions()[0].visible()).toBeTruthy();101                model.hideSubmenus();102                expect(model.actions()[0].visible()).toBeFalsy();103            });104            it('with another object', function () {105                var actions = model.actions();106                actions[0].visible(true);107                expect(actions[0].visible()).toBeTruthy();108                model.hideSubmenus(actions);109                expect(actions[0].visible()).toBeFalsy();110            });111        });112        describe('check applyAction', function () {113            it('change visibility of submenu', function () {114                expect(model.actions()[0].visible()).toBeFalsy();115                expect(model.applyAction('availability')).toBe(model);116                expect(model.actions()[0].visible()).toBeTruthy();117            });118        });119    });...

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