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Create a copy of agent in evaluation for chainerrl/experiements/train_agent_async.py #613

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Create a copy of agent in evaluation for chainerrl/experiements/train_agent_async.py #613

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4 changes: 2 additions & 2 deletions chainerrl/experiments/train_agent_async.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
import logging
import multiprocessing as mp
import os

import copy
from chainerrl.experiments.evaluator import AsyncEvaluator
from chainerrl.misc import async_
from chainerrl.misc import random_seed
Expand Down Expand Up @@ -63,7 +63,7 @@ def train_loop(process_idx, env, agent, steps, outdir, counter,
if evaluator is not None:
eval_score = evaluator.evaluate_if_necessary(
t=global_t, episodes=global_episodes,
env=eval_env, agent=agent)
env=eval_env, agent=copy.deepcopy(agent))
if (eval_score is not None and
successful_score is not None and
eval_score >= successful_score):
Expand Down