successor representation

Saliency-Guided Representation with Consistency Policy Learning for Visual Unsupervised Reinforcement Learning CVPR 2026 A Distributional Analogue to the Successor Representation ICML 2024 Exploration by Learning Diverse Skills through Successor State Representations NeurIPS 2024 Learning to Assist Humans without Inferring Rewards NeurIPS 2024 A State Representation for Diminishing Rewards NeurIPS 2023 Maximum State Entropy Exploration using Predecessor and Successor Representations NeurIPS 2023 Successor-Predecessor Intrinsic Exploration NeurIPS 2023 Temporal Abstraction in Reinforcement Learning with the Successor Representation JMLR 2023 A First-Occupancy Representation for Reinforcement Learning ICLR 2022 On the Generalization of Representations in Reinforcement Learning AISTATS 2022 A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation ICML 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NeurIPS 2021 Successor Feature Sets: Generalizing Successor Representations Across Policies AAAI 2021 Count-Based Exploration with the Successor Representation AAAI 2020 Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction NeurIPS 2020 A neurally plausible model learns successor representations in partially observable environments NeurIPS 2019 Better Transfer Learning with Inferred Successor Maps NeurIPS 2019 Successor Options: An Option Discovery Framework for Reinforcement Learning IJCAI 2019 Eigenoption Discovery through the Deep Successor Representation ICLR 2018