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05/17/2019
A Regularized Opponent Model with Maximum Entropy Objective
In a single-agent setting, reinforcement learning (RL) tasks can be cast...
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02/28/2019
Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents
Real-time bidding, as one of the most popular mechanisms for selling onl...
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01/26/2019
Multi-Agent Generalized Recursive Reasoning
We propose a new reasoning protocol called generalized recursive reasoni...
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01/26/2019
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
Humans are capable of attributing latent mental contents such as beliefs...
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09/11/2018
Factorized Q-Learning for Large-Scale Multi-Agent Systems
Deep Q-learning has achieved a significant success in single-agent decis...
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09/13/2017
A Study of AI Population Dynamics with Million-agent Reinforcement Learning
We conduct an empirical study on discovering the ordered collective dyna...
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09/13/2017
An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning
In this paper, we conduct an empirical study on discovering the ordered ...
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07/05/2017
Learning to Design Games: Strategic Environments in Deep Reinforcement Learning
In typical reinforcement learning (RL), the environment is assumed given...
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03/29/2017
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games
Many artificial intelligence (AI) applications often require multiple in...
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06/22/2016
