Dec. 26, 2023, 1:33 p.m. | /u/APaperADay

Machine Learning www.reddit.com

**Paper**: [https://openreview.net/forum?id=psXVkKO9No](https://openreview.net/forum?id=psXVkKO9No)

**Abstract**:

>Reinforcement Learning (RL) algorithms typically utilize learning and/or planning techniques to derive effective policies. The integration of both approaches has proven to be highly successful in addressing complex sequential decision-making challenges, as evidenced by algorithms such as AlphaZero and MuZero, which consolidate the planning process into a parametric search-policy. AIXI, the most potent theoretical universal agent, leverages planning through comprehensive search as its primary means to find an optimal policy. Here we define an alternative universal agent, …

abstract agent algorithms alphazero challenges decision integration machinelearning making parametric planning policy process reinforcement reinforcement learning search through

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