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reward sparsity

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reinforcement learning (5) comparative discriminator (1) difficulty aware advantage reweighting (1) reward discovery (1) concise reasoning (1) monitored mdp (1) temporal differencing (1) semantic exploration (1) self-adversarial learning (1) large language model (1)

Papers

SRPO: Self-Referential Policy Optimization for Vision-Language-Action Models CVPR 2026 VEG: Verbal 𝜖-greedy for Semantic Exploration in Multi-Turn RL Agents ACL 2026 GRPO-LEAD: A Difficulty-Aware Reinforcement Learning Approach for Concise Mathematical Reasoning in Language Models EMNLP 2025 Beyond Optimism: Exploration With Partially Observable Rewards NeurIPS 2024 Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents NeurIPS 2024 Self-Adversarial Learning with Comparative Discrimination for Text Generation ICLR 2020 TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning ICLR 2018