reward decomposition

Aligning Dialogue Agents with Global Feedback via Large Language Model Multimodal Reward Decomposition EMNLP 2025 Causal State Distillation for Explainable Reinforcement Learning CLeaR 2024 CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems AAAI 2024 Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes AAAI 2024 Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents EMNLP 2024 Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards NeurIPS 2024 DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning NeurIPS 2023 Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning AAAI 2023 Orchestrated Value Mapping for Reinforcement Learning ICLR 2022 Value Function Decomposition for Iterative Design of Reinforcement Learning Agents NeurIPS 2022 Independence-aware Advantage Estimation IJCAI 2021 Guided Dialogue Policy Learning without Adversarial Learning in the Loop EMNLP 2020 Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition ACL 2020 RD$^2$: Reward Decomposition with Representation Decomposition NeurIPS 2020 Distributional Reward Decomposition for Reinforcement Learning NeurIPS 2019 Explaining Reinforcement Learning to Mere Mortals: An Empirical Study IJCAI 2019 Hybrid Reward Architecture for Reinforcement Learning NeurIPS 2017 Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes NeurIPS 2017