Daniel Ebi

Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access

Asymmetric actor-critic methods are widely used in partially observable reinforcement learning, but typically assume full state observability to condition the critic during training, which is often unrealistic in practice. We introduce the informed asymmetric actor-critic framework, allowing the cri…