Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: An Analysis of Stochastic Game Theory for Multiagent Reinforcement Learning
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
Competition and Cooperation Between Multiple Reinforcement Learning Systems
Classes of Multiagent Q-learning Dynamics with epsilon-greedy Exploration
technical report 10003 multi - agent reinforcement learning : an overview ∗ .
Relational Forward Models for Multi-Agent Learning
Intent-Aware Multi-Agent Reinforcement Learning
Multiobjective Reinforcement Learning: A Comprehensive Overview
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
Dynamics of Boltzmann Q-Learning in Two-Player Two-Action Games
graph convolutional reinforcement learning for multi - agent cooperation .
Deep Multi-agent Reinforcement Learning in a Homogeneous Open Population.
Multi-Agent Reinforcement Learning with Vicarious Rewards
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
Coco-Q: Learning in Stochastic Games with Side Payments
Evolutionary dynamics of multi-agent learning: a survey
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Acting Optimally in Partially Observable Stochastic Domains
Planning, learning and coordination in multiagent decision processes
Cooperative Multi-agent Control Using Deep Reinforcement Learning
Pricing in Agent Economies Using Multi-Agent Q-Learning
A proposed index of usability: a method for comparing the relative usability of different software systems
Multi-Level Graph Layout on the GPU
A Unified Analysis of Value-Function-Based Reinforcement-Learning Algorithms
General vestibular testing
life , death , and the critical transition : finding liveness bugs in systems code ( awarded best paper ) .