Robust Successor Features

arXiv:2609.31016 · cs.LG · Submitted 2026-09-25 · Read on arXiv

cs.LG

Submitted: 2026-09-25

Updated: 2026-09-25

Comments: 10 pages, 3 figures, to be published in EWRL 2026

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

Terminology

• Reinforcement Learning — 19× in this paper · explained in 4 episodes
• Generalization — 18× in this paper · explained in 13 episodes
• Reward Function — 15× in this paper · explained in 2 episodes
• Adaptation — 14× in this paper · explained in 1 episode
• Accuracy — 9× in this paper · explained in 1 episode
• Ablation — 6× in this paper · explained in 1 episode
• Action Space — 4× in this paper · explained in 1 episode
• Generalized Policy Improvement — 4× in this paper
• Zero-Shot Generalization — 4× in this paper · explained in 5 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 3× in this paper · explained in 2 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Temporal Difference — 3× in this paper
• Abstraction — 2× in this paper · explained in 1 episode
• Decoupling — 2× in this paper · explained in 2 episodes
• Markov Decision Process — 2× in this paper
• Markov Decision Process (MDP) — 2× in this paper · explained in 11 episodes
• Mean Absolute Error — 2× in this paper
• Q-learning — 2× in this paper · explained in 3 episodes
• Reinforcement Learning (RL) — 2× in this paper · explained in 25 episodes
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Zero-Shot Transfer — 2× in this paper · explained in 3 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Generalization in Reinforcement Learning — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sample Efficiency — 1× in this paper · explained in 4 episodes

Sources

• Universal Successor Features for Transfer Reinforcement Learning

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