tinyDSM: A Framework for Skill Modeling and Development for Resource-Constrained Millirobots

arXiv:2608.17596 · cs.RO, cs.AI · Submitted 2026-08-18 · Read on arXiv

cs.RO, cs.AI

Submitted: 2026-08-18

Updated: 2026-09-09

Comments: Manuscript submitted to IEEE Transactions on Cognitive and Developmental Systems

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Intrinsic Motivation — 40× in this paper
• Reinforcement Learning — 17× in this paper · explained in 4 episodes
• Knowledge Graph — 12× in this paper · explained in 7 episodes
• Machine Learning — 10× in this paper
• Q-learning — 7× in this paper · explained in 3 episodes
• Resource Constraints — 4× in this paper · explained in 3 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 3× in this paper · explained in 2 episodes
• Simulated Annealing — 3× in this paper
• Active Learning — 2× in this paper · explained in 6 episodes
• Allocator — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Deep Q-Networks — 2× in this paper
• Memory Management — 2× in this paper
• Ontology — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Task Planning — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Deep Deterministic Policy Gradient — 1× in this paper
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 24 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• Modular Multitask Reinforcement Learning with Policy Sketches
• Playing Atari with Deep Reinforcement Learning
• Continuous control with deep reinforcement learning

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