Minimal Recurrent Behavioral Memory for Imitation under Partial Observability
cs.LG, cs.IT, cs.RO, math.IT
Submitted: 2026-09-22
Updated: 2026-09-22
Comments: 46 pages, 10 figures. Code: https://github.com/XianyaoLi/DIACRITIC
Code: https://github.com/XianyaoLi/DIACRITIC
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Training and Evaluating Diffusion Policies with Long Context Lengths
- RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design
- Memory Lens: How Much Memory Does an Agent Use?
- Gated Memory Policy: In-Context Memorization and Adaptation
- The Myhill-Nerode Theorem for Bounded Interaction: Canonical Abstractions via Agent-Bounded Indistinguishability
- Memory Retrieval in Visuomotor Policies for Long-Horizon Robot Control
- The information bottleneck method
- Support sufficiency as action-sufficient compression: a single-cycle rate-regret formulation
- Remember what you did?: Learning Behavioral Memories for Partially Observable Object Manipulation
- Compressing History into Memory: Distilling Transformers into Recurrent Transformers
- Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs
- What Must Generalist Agents Remember?
- Minimal Markovization via Stable Quotients in Holonomy-Cover Decision Processes
- Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory
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