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RAM: Towards an Ever-Improving Memory System by Learning from Communications
We introduce an innovative RAG-based framework with an ever-improving memory.
Non-Linear Coordination Graphs
Value decomposition multi-agent reinforcement learning methods learn the global value function as a mixing of each agent's individual utility functions.
Incorporating Pragmatic Reasoning Communication into Emergent Language
Emergentism and pragmatics are two research fields that study the dynamics of linguistic communication along substantially different timescales and intelligence levels.
Multi-agent Reinforcement Learning
Reinforcement Learning (RL)
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