Deep Weighted Bellman Residual Minimization for Q* Estimation

arXiv:2609.34593 · cs.LG, stat.ML · Submitted 2026-09-28 · Read on arXiv

cs.LG, stat.ML

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/openai/gym

Terminology

• Reinforcement Learning — 27× in this paper · explained in 4 episodes
• Distribution Shift — 8× in this paper · explained in 5 episodes
• Action Space — 7× in this paper · explained in 1 episode
• Actor — 7× in this paper · explained in 3 episodes
• Deep Reinforcement Learning — 6× in this paper · explained in 2 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Q-learning — 5× in this paper · explained in 3 episodes
• Loss Function — 4× in this paper · explained in 2 episodes
• Adaptability — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Activation Function — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Deep Reinforcement Learning (DRL) — 2× in this paper · explained in 2 episodes
• Domain Adaptation — 2× in this paper · explained in 5 episodes
• Covariate Shift — 1× in this paper · explained in 2 episodes
• Curse of Dimensionality — 1× in this paper · explained in 6 episodes
• Error Decomposition — 1× in this paper · explained in 3 episodes
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 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
• Soft Actor-Critic (SAC) — 1× in this paper · explained in 2 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Dota 2 with Large Scale Deep Reinforcement Learning
• Soft Actor-Critic Algorithms and Applications
• Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data
• Proximal Policy Optimization Algorithms
• A Review of Off-Policy Evaluation in Reinforcement Learning

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