Optimality in Performative Reinforcement Learning: A Performative Policy Gradient Approach

The article discusses advancements in performative reinforcement learning, specifically focusing on achieving optimality using a performative policy gradient. This area is crucial as it addresses how an agent's actions influence its training environment.

• •Addresses the challenge of agent actions impacting the training environment.
• •Proposes a performative policy gradient method.
• •Focuses on achieving optimality within the performative RL framework.