Amortized Low-Rank Adaptation for Model-Based Reinforcement Learning

arXiv:2609.12278 · cs.LG, cs.AI, cs.RO · Submitted 2026-09-10 · Read on arXiv

cs.LG, cs.AI, cs.RO

Submitted: 2026-09-10

Updated: 2026-09-21

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

Terminology

• Hypernetwork — 72× in this paper · explained in 3 episodes
• Adaptation — 58× in this paper · explained in 1 episode
• World Model — 53× in this paper · explained in 7 episodes
• Reinforcement Learning — 16× in this paper · explained in 4 episodes
• LoRA Adapters — 13× in this paper · explained in 3 episodes
• In-Context Learning — 11× in this paper · explained in 4 episodes
• Online Adaptation — 7× in this paper · explained in 3 episodes
• Meta-learning — 6× in this paper · explained in 2 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Sim-to-Real Transfer — 2× in this paper · explained in 2 episodes
• System Identification — 2× in this paper · explained in 3 episodes
• Zero-Shot Transfer — 2× in this paper · explained in 4 episodes
• Ablation — 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
• Benchmark — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Markov Decision Process — 1× in this paper
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Online Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sample Complexity — 1× in this paper · explained in 15 episodes
• Steering — 1× in this paper · explained in 2 episodes

Sources

• Adam: A Method for Stochastic Optimization
• Offline Reinforcement Learning with Implicit Q-Learning
• Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving
• Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

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