DDPG / off-policy algorithms fail due to rollout_buffer logging in FinRL 0.3.8

[KarthickKrishnasaisha]

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

[atharvajoshi01]

looks like the callback assumes rollout_buffer exists but DDPG/TD3/SAC use replay_buffer instead. a quick hasattr check before accessing it should do it.