Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach

Anton Plaksin; Vitaly Kalev

2024 ICML ICML 2024

Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Reinforcement Learning

Authors

Anton Plaksin, Vitaly Kalev

Topics

Artificial Intelligence > Core AI > Multi-Agent Systems Reinforcement Learning > Methods > Deep RL Reinforcement Learning > Applications > Game AI

Keywords

deep q-network differential game q function isaacs condition maximin bellman equation minimax bellman equation

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