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hub / github.com/Yonv1943/Python / explore_env

Method explore_env

ElegantRL/agent.py:60–80  ·  view source on GitHub ↗

actor explores in env, then returns the trajectory_list (env transition) `object env` RL training environment. env.reset() env.step() `int target_step` explored target_step number of step in env `float reward_scale` scale reward, 'reward * reward_scale' `float g

(self, env, target_step, reward_scale, gamma)

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Callers

nothing calls this directly

Calls 3

select_actionMethod · 0.95
stepMethod · 0.45
resetMethod · 0.45

Tested by

no test coverage detected