def run(self):
log_dir = "./logs/bastille/Random_Vs_ReinforceClassic/" + str(time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(RandomAgent(),
ReinforceClassicAgent(8, 12),
checkpoint=100,
log_dir=log_dir).run(1000000))
def run(self):
log_dir = "./logs/bastille/Random_Vs_DoubleQLearning/" + str(time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(RandomAgent(),
DoubleQLearningAgent(),
checkpoint=100,
log_dir=log_dir).run(1000000))
def run(self):
log_dir = "./logs/bastille/DeepQLearning_Vs_TabularQLearning/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(DeepQLearningAgent(8, 12),
TabularQLearningAgent(),
checkpoint=100,
log_dir=log_dir).run(1000000))
def run(self):
log_dir = "./logs/bastille/TabularQLearning_ReinforceClassic/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(TabularQLearningAgent(),
ReinforceClassicAgent(8, 12),
checkpoint=100,
log_dir=log_dir).run(1000000))
def run(self):
log_dir = "./logs/bastille/ReinforceClassicWithMultipleTrajectories_Vs_TabularQLearningAgent/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(
ReinforceClassicWithMultipleTrajectoriesAgent(8, 12),
TabularQLearningAgent(),
checkpoint=100,
log_dir=log_dir).run(1000000))
def run(self):
log_dir = "./logs/bastille/MOISMCTSWithRandomRollouts_Vs_TabularQLearning/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(MOISMCTSWithRandomRolloutsAgent(
100, SafeWindJammersRunner(RandomAgent(), RandomAgent())),
TabularQLearningAgent(),
checkpoint=100,
log_dir=log_dir).run(1000000))
def run(self):
log_dir = "./logs/bastille/TabularQLearning_PPOWithMultipleTrajectoriesMultiOutputs" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(
TabularQLearningAgent(),
PPOWithMultipleTrajectoriesMultiOutputsAgent(8, 12),
checkpoint=100,
log_dir=log_dir).run(1000000))
def run(self):
log_dir = "./logs/bastille/TabularQLearning_MOISMCTSWithRandomRolloutsExpertThenApprentice/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(
TabularQLearningAgent(),
MOISMCTSWithRandomRolloutsExpertThenApprenticeAgent(
100, SafeWindJammersRunner(RandomAgent(), RandomAgent()),
8, 12),
checkpoint=100,
log_dir=log_dir).run(1000000))
def run(self):
log_dir = "./logs/bastille/Random_Vs_RandomRollout_100/" + str(time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(RandomAgent(),
RandomRolloutAgent(
100,
SafeWindJammersRunner(
RandomAgent(),
RandomAgent())),
checkpoint=100,
log_dir=log_dir).run(1000000))
def run(self):
log_dir = "./logs/bastille/TabularQLearning_MOISMCTSWithValueNetwork/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(TabularQLearningAgent(),
MOISMCTSWithValueNetworkAgent(
100,
SafeWindJammersRunner(
RandomAgent(),
RandomAgent())),
checkpoint=100,
log_dir=log_dir).run(1000000))
def run():
log_dir = "./logs/bastilleMP/ReinforceWithMultipleTraj_Vs_TabularQLearning/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(
ReinforceClassicWithMultipleTrajectoriesAgent(8, 12),
TabularQLearningAgent(),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/DeepQLearning_Vs_TabularQLearning/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(DeepQLearningAgent(8, 12),
TabularQLearningAgent(),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/MOISMCTSWithRandomRollouts_Vs_TabularQLearning/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(MOISMCTSWithRandomRolloutsAgent(
100, SafeWindJammersRunner(RandomAgent(), RandomAgent())),
TabularQLearningAgent(),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/ReinforceClassicWithMultipleTrajectories_Vs_TabularQLearningAgent/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(
ReinforceClassicWithMultipleTrajectoriesAgent(8, 12),
TabularQLearningAgent(),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/Random_Vs_TabularQLearningAgent/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(RandomAgent(),
TabularQLearningAgent(),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/Random_Vs_RandomRollout_100/" + str(time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(RandomAgent(),
RandomRolloutAgent(
100,
SafeWindJammersRunner(
RandomAgent(), RandomAgent())),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/Random_Vs_DeepQLearning/" + str(time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(RandomAgent(),
DeepQLearningAgent(8, 12),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/Random_Vs_DoubleQLearning/" + str(time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(RandomAgent(),
DoubleQLearningAgent(),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/Random_Vs_ReinforceClassic/" + str(time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(RandomAgent(),
ReinforceClassicAgent(8, 12),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/Random_Vs_ReinforceClassicWithMultipleTrajectories/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(
RandomAgent(),
ReinforceClassicWithMultipleTrajectoriesAgent(8, 12),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/Random_Vs_PPOWithMultipleTrajectoriesMultiOutputs" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(
RandomAgent(),
PPOWithMultipleTrajectoriesMultiOutputsAgent(8, 12),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/Random_Vs_MOISMCTSWithRandomRollouts/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(RandomAgent(),
MOISMCTSWithRandomRolloutsAgent(
100,
SafeWindJammersRunner(
RandomAgent(), RandomAgent())),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/Random_Vs_MOISMCTSWithRandomRolloutsExpertThenApprentice/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(
RandomAgent(),
MOISMCTSWithRandomRolloutsExpertThenApprenticeAgent(
100, SafeWindJammersRunner(RandomAgent(), RandomAgent()), 8,
12),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/Random_Vs_MOISMCTSWithValueNetwork/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(RandomAgent(),
MOISMCTSWithValueNetworkAgent(
100,
SafeWindJammersRunner(
RandomAgent(), RandomAgent())),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/TabularQLearning_RandomRollout_100/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(TabularQLearningAgent(),
RandomRolloutAgent(
100,
SafeWindJammersRunner(
RandomAgent(), RandomAgent())),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/TabularQLearning_DeepQLearning/" + str(time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(TabularQLearningAgent(),
DeepQLearningAgent(8, 12),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/TabularQLearning_DoubleQLearning/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(TabularQLearningAgent(),
DoubleQLearningAgent(),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/TabularQLearning_ReinforceClassic/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(TabularQLearningAgent(),
ReinforceClassicAgent(8, 12),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/TabularQLearning_ReinforceClassicWithMultipleTrajectories/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(
TabularQLearningAgent(),
ReinforceClassicWithMultipleTrajectoriesAgent(8, 12),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/TabularQLearning_PPOWithMultipleTrajectoriesMultiOutputs" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(
TabularQLearningAgent(),
PPOWithMultipleTrajectoriesMultiOutputsAgent(8, 12),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/TabularQLearning_MOISMCTSWithRandomRollouts/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(TabularQLearningAgent(),
MOISMCTSWithRandomRolloutsAgent(
100,
SafeWindJammersRunner(
RandomAgent(), RandomAgent())),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/TabularQLearning_MOISMCTSWithRandomRolloutsExpertThenApprentice/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(
TabularQLearningAgent(),
MOISMCTSWithRandomRolloutsExpertThenApprenticeAgent(
100, SafeWindJammersRunner(RandomAgent(), RandomAgent()), 8,
12),
checkpoint=100,
log_dir=log_dir).run(100000))
log_dir = "./logs/bastilleMP/TabularQLearning_MOISMCTSWithValueNetwork/" + str(
time())
print(str(log_dir))
print(
TensorboardWindJammersRunner(TabularQLearningAgent(),
MOISMCTSWithValueNetworkAgent(
100,
SafeWindJammersRunner(
RandomAgent(), RandomAgent())),
checkpoint=100,
log_dir=log_dir).run(100000))