Discovering What You Can Control: Interventional Boundary Discovery for Reinforcement Learning

arXiv:2603.18257 · cs.LG, cs.AI · Submitted 2026-03-18 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-03-18

Updated: 2026-09-27

Terminology

• Feature Selection — 12× in this paper · explained in 4 episodes
• Reinforcement Learning — 12× in this paper · explained in 4 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Representation Learning — 9× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Interventional Boundary Discovery — 8× in this paper
• Causal Sphere of Influence — 5× in this paper
• Robustness — 4× in this paper · explained in 5 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Actor — 3× in this paper · explained in 3 episodes
• Core — 3× in this paper · explained in 2 episodes
• World Model — 3× in this paper · explained in 7 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Action Space — 2× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 2× in this paper · explained in 2 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Latent Representation — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Causal Inference — 1× in this paper · explained in 4 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Q-learning — 1× in this paper · explained in 3 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control
• WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts
• DeepMind Control Suite
• Zero-Shot Reinforcement Learning Under Partial Observability
• PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning
• The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels
• Provable RL with Exogenous Distractors via Multistep Inverse Dynamics

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