Agents
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Transportability for Bandits with Data from Different Environments
Neural Information Processing Systems
A unifying theme in the design of intelligent agents is to efficiently optimize a policy based on what prior knowledge of the problem is available and what actions can be taken to learn more about it.
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Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games Y oubang Sun
Neural Information Processing Systems
A major challenge in the analysis of multi-agent systems is the restriction on joint policies of agents.
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Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
Neural Information Processing Systems
This approach seeks to modify other agents'
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- Information Technology > Game Theory (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
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- Asia > China > Hong Kong (0.04)
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No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
Neural Information Processing Systems
We consider the problem of online multi-agent Nash social welfare (NSW) maximization.
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- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
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- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
- Information Technology > Artificial Intelligence > Machine Learning (1.00)
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