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DDPG / off-policy algorithms fail due to rollout_buffer logging in FinRL 0.3.8
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描述
I encountered a logging error when training off-policy algorithms (DDPG, TD3, SAC) in FinRL 0.3.8.
Root cause:
FinRL logging assumes the presence of `rollout_buffer`, which only exists for on-policy algorithms (A2C, PPO). Off-policy algorithms use `replay_buffer`, so the callback raises a logging error during training.
This does not break training itself, but breaks logging / TensorBoard
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