credit assignment

TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization ACL 2026 Unlocking Token Rewards via Training-Free Reward Attribution CVPR 2026 VAR RL Done Right: Tackling Asynchronous Policy Conflicts in Visual Autoregressive Generation CVPR 2026 Action abstractions for amortized sampling ICLR 2025 Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning IJCAI 2025 Credit Assignment and Fine-Tuning Enhanced Reinforcement Learning for Collaborative Spatial Crowdsourcing IJCAI 2025 Credit-based self organizing maps: training deep topographic networks with minimal performance degradation ICLR 2025 Deep Reinforcement Learning with Time-Scale Invariant Memory AAAI 2025 Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching ICLR 2025 Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing AAAI 2025 Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning AAAI 2025 MARGE: Improving Math Reasoning with Guided Exploration ICML 2025 MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions ICLR 2025 Multi-Agent Credit Assignment with Pretrained Language Models AISTATS 2025 Multi-level Advantage Credit Assignment for Cooperative Multi-Agent Reinforcement Learning AISTATS 2025 Offline Reinforcement Learning for LLM Multi-step Reasoning ACL 2025 RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution EMNLP 2025 Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning ICLR 2025 SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning AAAI 2025 Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning ICLR 2025 T-REG: Preference Optimization with Token-Level Reward Regularization ACL 2025 VinePPO: Refining Credit Assignment in RL Training of LLMs ICML 2025 Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning NeurIPS 2024 Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization ICLR 2024 Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward AAAI 2024