Agents
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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- Research Report > New Finding (0.93)
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- Research Report > Experimental Study (1.00)
- Research Report > New Finding (0.68)
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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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- Information Technology > Artificial Intelligence > Robots (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
- Information Technology > Artificial Intelligence > Machine Learning (1.00)
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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- Information Technology > Artificial Intelligence > Machine Learning (1.00)
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- Instructional Material > Course Syllabus & Notes (0.67)
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Local and Adaptive Mirror Descents in Extensive-Form Games
Neural Information Processing Systems
In imperfect information games (IIGs), players may only have access to partial information about the current game state upon taking action.
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- South America > Chile > Santiago Metropolitan Region > Santiago Province > Santiago (0.04)
- Europe > United Kingdom > England > Oxfordshire > Oxford (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
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- Information Technology > Artificial Intelligence > Machine Learning (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (0.94)
- Information Technology > Game Theory (0.94)