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laermannjan
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nip-deeprl-project
Student project in deep reinforcement learning with the OpenAI Gym. We evaluated and analyzed how different model architectures performed as agents in various games.
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Swig_constant_randint
#17
laermannjan
closed
7 years ago
1
Write Dockerfile
#16
laermannjan
opened
7 years ago
0
Stop training on max_episodes rather than max_steps
#15
laermannjan
closed
7 years ago
1
Implement resume training
#14
laermannjan
opened
7 years ago
1
Refactor configs
#13
laermannjan
opened
7 years ago
2
New training facility
#12
laermannjan
closed
7 years ago
0
Capture videos without rendering them.
#11
laermannjan
closed
7 years ago
2
Provide resume functionality
#10
laermannjan
closed
7 years ago
1
Standardise and complete logging
#9
laermannjan
closed
7 years ago
1
Package the project
#8
laermannjan
closed
7 years ago
1
Save (pickle) agent with highest reward rating
#7
laermannjan
closed
7 years ago
1
Change how timestep limit gets set.
#6
laermannjan
closed
7 years ago
1
ParamTuning Envs
#5
laermannjan
opened
7 years ago
1
Reevaluate custom_train.py
#4
laermannjan
closed
7 years ago
1
SimpleMonitor
#3
laermannjan
closed
7 years ago
1
misc_util.RunningAvg
#2
laermannjan
closed
7 years ago
2
Pickling broken
#1
laermannjan
closed
7 years ago
2