Reinforcement Learning with Temporal-Logic-Based Causal Diagrams

arXiv:2306.13732 · cs.AI, cs.FL · Submitted 2023-06-23 · Read on arXiv

cs.AI, cs.FL

Submitted: 2023-06-23

Updated: 2026-09-09

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

Terminology

• Reinforcement Learning — 33× in this paper · explained in 4 episodes
• Q-learning — 12× in this paper · explained in 3 episodes
• Causal Inference — 6× in this paper · explained in 4 episodes
• Reinforcement Learning (RL) — 6× in this paper · explained in 25 episodes
• Reward Function — 5× in this paper · explained in 2 episodes
• Linear Temporal Logic — 4× in this paper
• Adaptation — 2× in this paper · explained in 1 episode
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Markov Decision Processes — 2× in this paper
• Trace — 2× in this paper · explained in 2 episodes
• Active Learning — 1× in this paper · explained in 6 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Formal Methods — 1× in this paper · explained in 3 episodes
• Geometric Distribution — 1× in this paper · explained in 2 episodes
• Linear Temporal Logic (LTL) — 1× in this paper · explained in 4 episodes
• Meta-learning — 1× in this paper · explained in 2 episodes
• Q-learning with Reward Machines — 1× in this paper
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• Learning Task Automata for Reinforcement Learning using Hidden Markov Models
• AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
• Causal Bandits: Learning Good Interventions via Causal Inference
• Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
• Off-Policy Evaluation in Partially Observable Environments
• Learning Causal State Representations of Partially Observable Environments

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