Mem-T

by yanweiyue · indexed from github

Mem-T: Densifying Rewards for Long-Horizon Memory Agents

In long-horizon tasks (500+ turns), agents perform hundreds of memory operations but typically receive only a single "success/fail" reward at the very end. This sparse reward problem makes it impossible for the agent to know which step caused the failure.

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