- Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning by Ying Wen et al., 2019
- M3RL: Mind-aware Multi-agent Management Reinforcement Learning by Tianmin Shu et al., 2019
- Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning by Sanjeevan Ahilan, et al., 2019
- Multi-Agent Adversarial Inverse Reinforcement Learning by Lantao Yu et al., 2019
- Actor-Attention-Critic for Multi-Agent Reinforcement Learning by Shariq Iqbal et al., 2019
- Learning to Interactively Learn and Assist by Mark Woodward et al., 2019
- Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination by Shauharda Khadka et al., 2019
- Is multiagent deep reinforcement learning the answer or the question? A brief survey by Pablo Hernandez-Leal et al., 2019
- A Review of Cooperative Multi-Agent Deep Reinforcement Learning by Afshin OroojlooyJadid et al., 2019
- Multi-Agent Generative Adversarial Imitation Learning by Jiaming Song et al., 2018
- Counterfactual Multi-Agent Policy Gradients by Jakob Foersteret et al., 2017
- Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments by Ryan Lowe et al., 2017
- Deep Reinforcement Learning Variants of Multi-Agent Learning Algorithms by Alvaro Ovalle Castaneda, 2016
- A Survey of Reinforcement Learning Informed by Natural Language by Jelena Luketina et al., 2019
- Hierarchical multi-agent reinforcement learning by Mohammad Ghavamzadeh et al., 2006
- Learning to Schedule Communication in Multi-agent Reinforcement Learning by Daewoo Kim et al., 2019
- Learning to Cooperate via an Attention-Based Communication Neural Network in Decentralized Multi-Robot Exploration by Mingyang Geng et al., 2019
- TarMAC: Targeted Multi-Agent Communication by Abhishek Das et al., 2019
- Learning Attentional Communication for Multi-Agent Cooperation by Jiechuan Jiang et al., 2018
- Emergent Translation in Multi-Agent Communication by Jason Lee et al., 2018
- Emergence of Grounded Compositional Language in Multi-Agent Populations by Igor Mordatch et al., 2018
- Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols by et al., 2017
- Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning by Abhishek Das et al., 2017
- Multi-Agent Cooperation and the Emergence of (Natural) Language by Angeliki Lazaridou et al., 2017
- Actor-Critic Policy Optimization in Partially Observable Multiagent Environments by Sriram Srinivasan et al., 2018
- Learning with Opponent-Learning Awareness by Jakob N. Foerster et al., 2018
- A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning by Marc Lanctot et al., 2017