From 9767d09493689f10cb01d7fe80ef212f8468ef2a Mon Sep 17 00:00:00 2001
From: Jon <vitale.jonathan@ymail.com>
Date: Tue, 13 Jun 2023 15:22:09 +1000
Subject: [PATCH] Remove agent program description
---
week3/material/agent_programs.py | 20 --------------------
week3/solution/agent_programs.py | 20 --------------------
2 files changed, 40 deletions(-)
diff --git a/week3/material/agent_programs.py b/week3/material/agent_programs.py
index e689ec2..bdb3690 100644
--- a/week3/material/agent_programs.py
+++ b/week3/material/agent_programs.py
@@ -10,26 +10,6 @@ from vacuum_agent import VacuumAgent
DIRECTIONS = VacuumAgent.WHEELS_DIRECTIONS
-"""
-Agent implementing a search algorithm:
-- The agent must first update the model of the world (a GridMap) with the following information:
- 1. The current tile set as visited ('X')
- 2. The location of the charging dock ('C') given by the sensor 'charging-dock-location-sensor'
- 3. Any wall the agent crashed against ('W')
- 4. The dirt in the adjacent cells ('D')
-- The agent must start cleaning if it is not currently doing so and stop cleaning if
-the whole environment has been cleaned
-- The agent must activate the suction mechanism if there is dirt on the current tile
-or deactivate it if there is not (to preserve the battery)
-- Then, the agent must check the current battery level:
- 1. If the battery level is below 50%, the agent must use a search algorithm to
- head back to the charging dock before getting out of battery
- 2. Otherwise, the agent must use a search algorithm to head to an unvisited
- tile
- In both cases, the agent will return an action to change the direction of the
- wheels towards the goal state, based on the path found by the search algorithm
-"""
-
# 1. We create a model of the environment using a GridMap
# this step is similar to Week 2 workshop when implementing
# the model based agents
diff --git a/week3/solution/agent_programs.py b/week3/solution/agent_programs.py
index 64892d1..08ca550 100644
--- a/week3/solution/agent_programs.py
+++ b/week3/solution/agent_programs.py
@@ -10,26 +10,6 @@ from vacuum_agent import VacuumAgent
DIRECTIONS = VacuumAgent.WHEELS_DIRECTIONS
-"""
-Agent implementing a search algorithm:
-- The agent must first update the model of the world (a GridMap) with the following information:
- 1. The current tile set as visited ('X')
- 2. The location of the charging dock ('C') given by the sensor 'charging-dock-location-sensor'
- 3. Any wall the agent crashed against ('W')
- 4. The dirt in the adjacent cells ('D')
-- The agent must start cleaning if it is not currently doing so and stop cleaning if
-the whole environment has been cleaned
-- The agent must activate the suction mechanism if there is dirt on the current tile
-or deactivate it if there is not (to preserve the battery)
-- Then, the agent must check the current battery level:
- 1. If the battery level is below 50%, the agent must use a search algorithm to
- head back to the charging dock before getting out of battery
- 2. Otherwise, the agent must use a search algorithm to head to an unvisited
- tile
- In both cases, the agent will return an action to change the direction of the
- wheels towards the goal state, based on the path found by the search algorithm
-"""
-
# 1. We create a model of the environment using a GridMap
# this step is similar to Week 2 workshop when implementing
# the model based agents
--
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