"""Soft Actor-Critic (SAC) agent implementation.

This module implements the SAC algorithm, an off-policy actor-critic method
that uses maximum entropy reinforcement learning. SAC optimizes a trade-off
between expected return and policy entropy, making it both sample efficient
and robust.
"""
