Nature

Competitive swarm reinforcement learning improves stability and performance of deep reinforcement learning

Reinforcement Learning (RL) enable agents to learn from interactions with their environment by mapping environmental states to actions, aiming to maximize the value of received feedback signals. The ...
Nature

SINDy-RL for interpretable and efficient model-based reinforcement learning

Deep reinforcement learning (DRL) has shown significant promise for uncovering sophisticated control policies that interact in complex environments, such as stabilizing a tokamak fusion reactor or ...