successor feature

Learning Successor Features with Distributed Hebbian Temporal Memory ICLR 2025 Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching ICLR 2025 π2vec: Policy Representation with Successor Features ICLR 2024 Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning AAAI 2024 Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration NeurIPS 2024 Learning Successor Features the Simple Way NeurIPS 2024 Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making ICML 2024 SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024 Successor Features for Efficient Multi-Subject Controlled Text Generation ICML 2024 Unsupervised Object Interaction Learning with Counterfactual Dynamics Models AAAI 2024 Zero-Shot Reinforcement Learning from Low Quality Data NeurIPS 2024 Combining Behaviors with the Successor Features Keyboard NeurIPS 2023 Composing Task Knowledge With Modular Successor Feature Approximators ICLR 2023 Does Zero-Shot Reinforcement Learning Exist? ICLR 2023 Multi-Step Generalized Policy Improvement by Leveraging Approximate Models NeurIPS 2023 A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions AAAI 2022 Constrained GPI for Zero-Shot Transfer in Reinforcement Learning NeurIPS 2022 Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer ICML 2022 Option Transfer and SMDP Abstraction with Successor Features IJCAI 2022 A New Representation of Successor Features for Transfer across Dissimilar Environments ICML 2021 APS: Active Pretraining with Successor Features ICML 2021 Continual Auxiliary Task Learning NeurIPS 2021 Expected Eligibility Traces AAAI 2021 Policy Caches with Successor Features ICML 2021 PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning ICML 2021