We study Markov potential games under the infinite horizon average reward criterion. Most
previous studies have been for discounted rewards. We prove that both algorithms based on …

近年来, 深度强化学习(deep reinforcement learning, DRL) 已经在诸多序贯决策任务中取得
瞩目成功, 但当前深度强化学习的成功很大程度依赖于海量的学习数据与计算资源 …

Sequential decision making is an important field in machine learning, encompassing
techniques such as online optimization, structured bandits, and reinforcement learning …

Learning from small amounts of samples with reinforcement learning (RL) is challenging in
many tasks, especially, in real-world applications, such as robotics. Meta-RL (meta-RL) has …

近年来, 深度强化学习 (deep reinforcement learning, DRL) 已经在诸多序贯决策任务中取得
瞩目成功, 但当前深度强化学习的成功很大程度依赖于海量的学习数据与计算资源 …