Intrinsic rewards have been increasingly used to mitigate the sparse rew...
We propose a novel value-based algorithm for cooperative multi-agent
rei...
In this paper, we study the problem of unsupervised domain adaptation th...
Hypergraphs provide a natural way of representing group relations, whose...
We consider the Markov Decision Process (MDP) of selecting a subset of i...
Currently, miners typically join mining pools to solve cryptographic puz...
We explore value-based solutions for multi-agent reinforcement learning
...
Many real-world reinforcement learning tasks require multiple agents to ...
In various online/offline multi-agent networked environments, it is very...
In this paper, we consider the problem of recovering a graph that repres...
In practical crowdsourcing systems such as Amazon Mechanical Turk, poste...
Crowdsourcing platforms emerged as popular venues for purchasing human
i...
This paper studies the problem of parameter learning in probabilistic
gr...
Crowdsourcing systems are popular for solving large-scale labelling task...