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Use DETERMINISTIC sampling in PPO #3230

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Merged
merged 2 commits into from
Jan 13, 2025
Merged

Use DETERMINISTIC sampling in PPO #3230

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use DETERMINISTIC sampling in PPO
vmoens Jan 13, 2025
9af9962
Merge branch 'main' into vmoens-patch-1
svekars Jan 13, 2025
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2 changes: 1 addition & 1 deletion intermediate_source/reinforcement_ppo.py
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Expand Up @@ -639,7 +639,7 @@
# number of steps (1000, which is our ``env`` horizon).
# The ``rollout`` method of the ``env`` can take a policy as argument:
# it will then execute this policy at each step.
with set_exploration_type(ExplorationType.MEAN), torch.no_grad():
with set_exploration_type(ExplorationType.DETERMINISTIC), torch.no_grad():
# execute a rollout with the trained policy
eval_rollout = env.rollout(1000, policy_module)
logs["eval reward"].append(eval_rollout["next", "reward"].mean().item())
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