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Armin Co
LearningEnvironment
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develop_moreSensorsInCarla
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develop_moreSensorsInCarla
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master
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LearningEnvironment
change_modified_reward_v0
feature_carlaSupport
feature_carla_szenarios
6 results
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Created with Raphaël 2.2.0
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refactroing
master
master
Working Environment
change_modified…
change_modified_reward_v0
Modified reward function
Fixed yaw_dif
feature_carla_s…
feature_carla_szenarios
Added new environment options
Added offline batchsize option
Added path to /opt/..
Simplified reward function
Save results even if learning is turned off.
Only show log if there is a "offline" history.
Increased minimum Epsilon for Agent
More carla configurations
Integrated manual control into env
Add suffix to Doubel Agent
Install python packages
Prevent conf.name to be : None
New run scripts
Monitoring offline training
New benchmarking configurations
Added new config options and launch configurations
develop_moreSen…
develop_moreSensorsInCarla
Deep configurations
Measure network baselines
Start sample agent
Sharper steering impulses
Update to scriptability.
Fixed learning on double QAgent.
Benchmarks for the OpenAiGym environment.
Benchmark Configurations
Scriptable Learning
Minor Refactoring
feature_carlaSu…
feature_carlaSupport
Environment works with keras
Added Collistion sensor
Ignore vscode files
Camera update
Added reversing and forward drive
Carla
Base environment testing
Removed offline Learning
LearningEnviron…
LearningEnvironment
Update on environment wrapper
Refactoring
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