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Found 4 papers, 1 papers with code
Cooperation and Reputation Dynamics with Reinforcement Learning
We use a simple model of reinforcement learning to show that reputation mechanisms generate two coordination problems: agents need to learn how to coordinate on the meaning of existing reputations and collectively agree on a social norm to assign reputations to others based on their behavior.
Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning
Social dilemmas have been widely studied to explain how humans are able to cooperate in society.
Learning through Probing: a decentralized reinforcement learning architecture for social dilemmas
Using social dilemmas as the training ground, we present a novel learning architecture, Learning through Probing (LTP), where agents utilize a probing mechanism to incorporate how their opponent's behavior changes when an agent takes an action.
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Exploration in Reinforcement Learning
The use of ensembles of neural networks (NNs) for the quantification of predictive uncertainty is widespread.
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