Functions — github.com/Luca96/carla-driving-rl-agent

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Functions646 in github.com/Luca96/carla-driving-rl-agent

Returns the closest route's Waypoint to the given location (carla.Location) that advances the completion of the planned route.

rl/environments/carla/navigation/route.py:33

↓ 1 callersMethodupdate_old_policy

(self, weights=None)

core/networks.py:281

↓ 1 callersMethodupdate_policy

(self, gradients)

rl/agents/ppo.py:235

↓ 1 callersMethodupdate_value

(self, gradients)

rl/agents/ppo.py:261

↓ 1 callersMethodvalue_batch_tensors

Defines which data to use in `get_value_batches()`

rl/agents/ppo.py:277

↓ 1 callersMethodvalue_branch

(self, index: int, exp_scale: float, components: int, **kwargs)

core/networks.py:255

↓ 1 callersMethodvalue_head

(self, layer: Layer, index=0, exponent_scale=6.0, **kwargs)

core/networks.py:267

↓ 1 callersMethodvalue_head

(self, layer: Layer, exponent_scale=6.0, components=1, **kwargs)

rl/networks/networks.py:230

↓ 1 callersMethodvalue_layers

Defines the architecture of the value-network

rl/networks/networks.py:210

↓ 1 callersMethodvalue_network

(self, **kwargs)

core/networks.py:247

↓ 1 callersMethodvalue_network

(self, **kwargs)

rl/networks/networks.py:221

↓ 1 callersMethodvalue_objective

(self, batch)

core/carla_agent.py:469

↓ 1 callersMethodvalue_objective

(self, batch)

rl/agents/ppo.py:299

↓ 1 callersMethodvalue_predict

(self, inputs: dict)

core/carla_agent.py:466

↓ 1 callersFunctionvector

Returns the unit vector from location_1 to location_2 location_1, location_2: carla.Location objects

rl/environments/carla/tools/misc.py:98

↓ 1 callersMethodworld_step

Applies the actions to the vehicle, and updates the CARLA's world

rl/environments/carla/environment.py:459

↓ 1 callersMethodwrite_summaries

(self)

rl/utils.py:631

Method__call__

(self, *args, **kwargs)

rl/parameters/parameters.py:28

Method__call__

(self, *args, **kwargs)

rl/parameters/parameters.py:52

Method__call__

(self, *args, **kwargs)

rl/parameters/parameters.py:67

Method__enter__

(self)

rl/environments/carla/tools/synchronous_mode.py:31

Method__exit__

(self, *args, **kwargs)

rl/environments/carla/tools/synchronous_mode.py:43

Method__init__

(self, agent, inputs: Dict[str, Input], name='PolicyNetwork', **kwargs)

core/networks.py:91

Method__init__

:param stack_depth: if true the depth-image from the depth camera sensor will be stacked along the channel dimens

core/carla_env.py:26

Method__init__

(self, agent: dict, environment: dict, learning: dict, representation: dict = None, collect:

core/learning.py:70

Method__init__

(self)

core/carla_agent.py:29

Method__init__

(self, state_spec: dict, num_actions: int, time_horizon: int)

core/carla_agent.py:587

Method__init__

(self, mode='summary', name=None, summary_dir='logs', keys: List[str] = None)

rl/utils.py:578

Method__init__

(self, epsilon=NP_EPS, max_count=10e8)

rl/utils.py:678

Method__init__

Arguments: - path: dict = - origin: dict(carla.Transform or 'point' or 'points', 'type': [fixed, route, map] or [random,

rl/environments/carla/environment.py:42

Method__init__

(self, env: CARLABaseEnvironment)

rl/environments/carla/environment.py:573

Method__init__

(self, env: CARLABaseEnvironment, ignore_traffic_light: bool, traces_dir='traces', name='carla',

rl/environments/carla/environment.py:672

Method__init__

(self, *args, disable_reverse=False, min_throttle=0.0, camera='segmentation', hard_control_th

rl/environments/carla/environment.py:861

Method__init__

(self, bins: int, *args, **kwargs)

rl/environments/carla/environment.py:1181

Method__init__

(self, *args, image_shape=(120, 160, 1), window_size=(600, 300), **kwargs)

rl/environments/carla/environment.py:1216

Method__init__

(self, bins: int, *args, **kwargs)

rl/environments/carla/environment.py:1270

Method__init__

(self, color_converter=carla.ColorConverter.Raw, **kwargs)

rl/environments/carla/sensors.py:124

Method__init__

(self, parent_actor, **kwargs)

rl/environments/carla/sensors.py:195

Method__init__

(self, parent_actor, **kwargs)

rl/environments/carla/sensors.py:204

Method__init__

(self, parent_actor, **kwargs)

rl/environments/carla/sensors.py:213

Method__init__

(self, parent_actor, **kwargs)

rl/environments/carla/sensors.py:226

Method__init__

(self, parent_actor, **kwargs)

rl/environments/carla/sensors.py:235

Method__init__

(self, parent_actor, transform=carla.Transform(carla.Location(x=1.0, z=2.8)), **kwargs)

rl/environments/carla/sensors.py:251

Method__init__

(self, parent_actor, **kwargs)

rl/environments/carla/sensors.py:272

Method__init__

(self, world, sensors: dict, fps=30)

rl/environments/carla/tools/synchronous_mode.py:17

Method__init__

(self, **kwargs)

rl/environments/carla/tools/utils.py:85

Method__init__

(self, map, sampling_resolution=1)

rl/environments/carla/navigation/route_planner.py:15

Method__init__

get_topology Constructor wmap : carl worlds map object

rl/environments/carla/navigation/global_route_planner_dao.py:18

Method__init__

:param agent: agents that regulates the vehicle :param vehicle: actor to apply to local planner logic onto

rl/environments/carla/navigation/local_planner_behavior.py:39

Method__init__

(self, planner: RoutePlanner)

rl/environments/carla/navigation/route.py:12

Method__init__

Constructor method. :param vehicle: actor to apply to local planner logic onto

rl/environments/carla/navigation/agent.py:31

Method__init__

Constructor

rl/environments/carla/navigation/global_route_planner.py:28

Method__init__

Constructor method. :param vehicle: actor to apply to local planner logic onto :param args_lateral: dictionary of arguments

rl/environments/carla/navigation/controller.py:22

Method__init__

Constructor method. :param vehicle: actor to apply to local planner logic onto :param K_P: Proportional term

rl/environments/carla/navigation/controller.py:95

Method__init__

Constructor method. :param vehicle: actor to apply to local planner logic onto :param K_P: Proportional term

rl/environments/carla/navigation/controller.py:154

Method__init__

Constructor method. :param vehicle: actor to apply to local planner logic onto :param ignore_traffic_light: boolean

rl/environments/carla/navigation/behavior_agent.py:39

Method__init__

(self, agent, policy: dict, value: dict)

rl/networks/networks.py:115

Method__init__

(self)

rl/parameters/parameters.py:11

Method__init__

(self, schedule: LearningRateSchedule, min_value=1e-4)

rl/parameters/parameters.py:47

Method__init__

(self, value: float)

rl/parameters/parameters.py:63

Method__init__

(self, initial_value: float, decay_steps: int, decay_rate: float, staircase=False, min_value=0.0)

rl/parameters/parameters.py:75

Method__init__

(self, initial_value: float, end_value: float, decay_steps: int, power=1.0, cycle=False)

rl/parameters/parameters.py:89

Method__init__

(self, *args, discount=1.0, name='random-agent', repeat_action=1, **kwargs)

rl/agents/agents.py:219

Method__init__

(self, *args, policy_lr: Union[float, LearningRateSchedule, DynamicParameter] = 1e-3, gamma=0.99,

rl/agents/ppo.py:26

Method__init__

(self, state_spec: dict, num_actions: int)

rl/agents/ppo.py:633

Method__len__

(self)

rl/environments/carla/navigation/route.py:20

Clips actions to prevent numerical instability when computing (log-)probabilities. - Use for Beta distribution only.

rl/networks/networks.py:66

Method_distance_heuristic

Distance heuristic calculator for path searching in self._graph

rl/environments/carla/navigation/route_planner.py:221

Method_distance_heuristic

Distance heuristic calculator for path searching in self._graph

rl/environments/carla/navigation/global_route_planner.py:206

Method_is_light_red

Method to check if there is a red light affecting us. This version of the method is compatible with both European and US style traffi

rl/environments/carla/navigation/agent.py:74

Method_is_vehicle_hazard

:param vehicle_list: list of potential obstacle to check :return: a tuple given by (bool_flag, vehicle), where - bo

rl/environments/carla/navigation/agent.py:192

Method_seed_regularization

()

rl/agents/ppo.py:45

Method_update_target_waypoint

(self)

core/carla_env.py:384

Methodabstract_route_plan

The following function generates the route plan based on origin : carla.Location object of the route's start position de

rl/environments/carla/navigation/route_planner.py:350

Methodabstract_route_plan

The following function generates the route plan based on origin : carla.Location object of the route's start position de

rl/environments/carla/navigation/global_route_planner.py:313

Functionaccumulate_gradients

(grads1: list, grads2: Optional[list] = None)

rl/utils.py:124

Methodact

(self, *args, **kwargs)

rl/networks/networks.py:20

Methodact

(self, inputs: Union[tf.Tensor, List[tf.Tensor], Dict[str, tf.Tensor]])

rl/networks/networks.py:165

Methodact

(self, state, *args, **kwargs)

rl/agents/ppo.py:183

Methodaction_space

(self)

rl/environments/carla/environment.py:215

Methodaction_space

(self)

rl/environments/carla/environment.py:889

Methodactions_to_control

Converts the given actions to vehicle's control

core/carla_env.py:141

Methodactions_to_control

(self, actions)

rl/environments/carla/environment.py:1055

Methodactions_to_control

(self, actions)

rl/environments/carla/environment.py:1197

Methodactions_to_control

(self, actions)

rl/environments/carla/environment.py:1286

rl/environments/carla/sensors.py:35

Methodadd_callback

(sensor_spec: dict, callback)

rl/environments/carla/sensors.py:354

Methodafter_world_step

(self, sensors_data: dict)

rl/environments/carla/environment.py:1051

Functionall_instances_of

Returns true is all elements of the given list are instances of [kind]

rl/environments/carla/env_utils.py:442

Methodapply_policy_gradients

(self, gradients)

core/carla_agent.py:375

Methodapply_value_gradients

(self, gradients)

core/carla_agent.py:454

Methodas_dict

(self)

rl/utils.py:718

Functionassert_shapes

core/carla_agent.py:545

Methodavailable_towns

Returns a list with the names of the currently available maps/towns

rl/environments/carla/environment.py:545

Functionaverage_gradients

(gradients: list, n: int)

rl/utils.py:131

Functionbatch_norm_relu6

BatchNormalization + ReLU6, use as activation function

rl/utils.py:433

Methodcall

(self, inputs: TensorType, **kwargs)

core/networks.py:96

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