Add various RL adapted configs

This commit is contained in:
Julian Schönberger
2024-05-02 11:00:35 +02:00
parent 48d708bbcd
commit c7c2c4e5a3
9 changed files with 334 additions and 9 deletions

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General:
# RNG-seed to sample the same "random" numbers every time, to make the different runs comparable.
env_seed: 69
# Individual vs global rewards
individual_rewards: true
# The level.txt file to load from marl_factory_grid/levels
level_name: quadrant
# Radius of Partially observable Markov decision process
pomdp_r: 0 # default 3
# Print all messages and events
verbose: false
# Run tests
tests: false
# In the "clean and bring" Scenario one agent aims to pick up all items and drop them at drop-off locations while all
# other agents aim to clean dirt piles.
Agents:
# The clean agents
Wolfgang:
Actions:
- Move4
- Clean
- Noop
Observations:
- Walls
- Other
- DirtPiles
- Self
Positions:
- (9,1)
Reiner:
Actions:
- Move4
- Clean
- Noop
Observations:
- Walls
- Other
- DirtPiles
- Self
Positions:
- (9,8) # (9, 4)
Entities:
DirtPiles:
coords_or_quantity: (1, 1), (1,2), (1,3), (2,4), (2,5), (3,6), (4,7), (5,8), (6,8), (7,9), (8,9), (9,9)
initial_amount: 0.5 # <1 to ensure that the robot which first attempts to clean this field, can remove the dirt in one action
clean_amount: 1
dirt_spawn_r_var: 0
max_global_amount: 12
max_local_amount: 1
# Rules section specifies the rules governing the dynamics of the environment.
Rules:
# Utilities
# This rule defines the collision mechanic, introduces a related DoneCondition and lets you specify rewards.
# Can be omitted/ignored if you do not want to take care of collisions at all.
WatchCollisions:
done_at_collisions: false
# Done Conditions
# Define the conditions for the environment to stop. Either success or a fail conditions.
# The environment stops when all dirt is cleaned
DoneOnAllDirtCleaned:
DoneAtMaxStepsReached:
max_steps: 200