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Exploring Explainable Multi-agent MCTS-minimax Hybrids in Board Game Using Process Mining

v1v2v3 (latest)

Exploring Explainable Multi-agent MCTS-minimax Hybrids in Board Game Using Process Mining

30 March 2025

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Papers citing "Exploring Explainable Multi-agent MCTS-minimax Hybrids in Board Game Using Process Mining"

6 / 6 papers shown

A Survey of Explainable Reinforcement Learning

A Survey of Explainable Reinforcement Learning

Stephanie Milani

252

60

0

17 Feb 2022

Iterative Bounding MDPs: Learning Interpretable Policies via
Non-Interpretable Methods

Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable MethodsAAAI Conference on Artificial Intelligence (AAAI), 2021

Stephanie Milani

194

43

0

25 Feb 2021

Visualizing and Understanding Atari Agents

Visualizing and Understanding Atari Agents

Jonathan Dodge

402

381

0

31 Oct 2017

Explanation in Artificial Intelligence: Insights from the Social
Sciences

Explanation in Artificial Intelligence: Insights from the Social Sciences

773

4,814

0

22 Jun 2017

Rationalization: A Neural Machine Translation Approach to Generating
Natural Language Explanations

Rationalization: A Neural Machine Translation Approach to Generating Natural Language ExplanationsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2017

222

226

0

25 Feb 2017

Process Discovery using Inductive Miner and Decomposition

Process Discovery using Inductive Miner and Decomposition

62

19

0

25 Oct 2016