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Found 4 papers, 2 papers with code
Incorporating Rivalry in Reinforcement Learning for a Competitive Game
Recent advances in reinforcement learning with social agents have allowed such models to achieve human-level performance on specific interaction tasks.
Incorporating Rivalry in Reinforcement Learning for a Competitive Game
Recent advances in reinforcement learning with social agents have allowed us to achieve human-level performance on some interaction tasks.
Moody Learners -- Explaining Competitive Behaviour of Reinforcement Learning Agents
Designing the decision-making processes of artificial agents that are involved in competitive interactions is a challenging task.
Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game
Learning how to adapt to complex and dynamic environments is one of the most important factors that contribute to our intelligence.
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