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hub / github.com/Trevato/CSGOMLBot / train_eval_doom_simple

Function train_eval_doom_simple

trainActor.py:48–141  ·  view source on GitHub ↗

A simple train and eval for PPO.

(
		# Params for collect
		num_environment_steps=30000000,
		collect_episodes_per_iteration=32,
		num_parallel_environments=32,
		replay_buffer_capacity=301,  # Per-environment
		# Params for train
		num_epochs=25,
		learning_rate=4e-4,
		# Params for eval
		eval_interval=500,
		num_video_episodes=10,
		# Params for summaries and logging
		log_interval=50)

Source from the content-addressed store, hash-verified

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Callers 1

mainFunction · 0.85

Calls 7

CSGOEnvironmentClass · 0.90
create_networksFunction · 0.85
train_stepFunction · 0.85
observation_specMethod · 0.80
action_specMethod · 0.80
formatMethod · 0.80
clearMethod · 0.45

Tested by

no test coverage detected