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cs.AI2024
Temporal Knowledge-Graph Memory in a Partially Observable Environment
Taewoon Kim, Vincent François-Lavet, Michael Cochez
Agents in partially observable environments require persistent memory to integrate observations over time. While KGs (knowledge graphs) provide a natural representation for such ev…
cs.LG2024
Hadamard Representation: Scaffolding Performance Across Model-free RL
Jacob E. Kooi, Zhao Yang, Mark Hoogendoorn +1
Deep reinforcement learning agents progressively lose representational capacity during training: neurons become dormant, removing active capacity from the network, and effective ra…