CARE-VI: Conservative Adaptive Reliability Estimation for Value Improvement in Off-Policy Actor-Critic Learning

arXiv:2609.20098 · cs.LG · Submitted 2026-09-17 · Read on arXiv

cs.LG

Submitted: 2026-09-17

Updated: 2026-09-17

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

Terminology

• Actor — 32× in this paper · explained in 3 episodes
• Reinforcement Learning — 20× in this paper · explained in 4 episodes
• Q-learning — 10× in this paper · explained in 3 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 6× in this paper · explained in 2 episodes
• Actor-Critic Learning — 5× in this paper · explained in 1 episode
• Selector-Evaluator Value Assessment — 5× in this paper
• Conservative Adaptive Ranking and Screening — 4× in this paper
• Failure Modes — 3× in this paper · explained in 3 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Dynamic Adaptive Risk-aware Enhancement — 2× in this paper
• Soft Actor-Critic — 2× in this paper
• Sparsity — 2× in this paper · explained in 4 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Soft Actor-Critic (SAC) — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Value-Improved Actor Critic — 1× in this paper

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