Reinforcement Learning under External Influence: Guarantees, Algorithms, and Sample Complexity

arXiv:2305.16056 · cs.LG, cs.AI · Submitted 2023-05-25 · Read on arXiv

cs.LG, cs.AI

Submitted: 2023-05-25

Updated: 2026-09-17

Comments: 47 pages

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

Terminology

• Reinforcement Learning — 45× in this paper · explained in 4 episodes
• Sample Complexity — 19× in this paper · explained in 15 episodes
• Reward Function — 13× in this paper · explained in 2 episodes
• Generalization — 12× in this paper · explained in 13 episodes
• Markov Decision Processes — 9× in this paper
• Action Space — 7× in this paper · explained in 1 episode
• Adaptation — 3× in this paper · explained in 1 episode
• Regret — 3× in this paper · explained in 3 episodes
• Markov Decision Process (MDP) — 2× in this paper · explained in 11 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization Bounds — 1× in this paper · explained in 2 episodes

Sources

• D4RL: Datasets for Deep Data-Driven Reinforcement Learning
• Contextual Markov Decision Processes

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