state abstraction

Provable Hierarchy-Based Meta-Reinforcement Learning AISTATS 2023 Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction AAAI 2023 A Direct Approximation of AIXI Using Logical State Abstractions NeurIPS 2022 Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning ICML 2022 Causal Dynamics Learning for Task-Independent State Abstraction ICML 2022 Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning AISTATS 2022 Constrained Contrastive Reinforcement Learning ACML 2022 Denoised MDPs: Learning World Models Better Than the World Itself ICML 2022 Homomorphisms of Lifted Planning Tasks: The Case for Delete-Free Relaxation Heuristics AAAI 2022 Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction AAAI 2022 Option Transfer and SMDP Abstraction with Successor Features IJCAI 2022 Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction NeurIPS 2022 Semantic Exploration from Language Abstractions and Pretrained Representations NeurIPS 2022 Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning ICLR 2022 Contingency-aware influence maximization: A reinforcement learning approach UAI 2021 Learning Robust State Abstractions for Hidden-Parameter Block MDPs ICLR 2021 Monte Carlo Tree Search With Iteratively Refining State Abstractions NeurIPS 2021 Towards Robust Bisimulation Metric Learning NeurIPS 2021 CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs CoRL 2020 Invariant Causal Prediction for Block MDPs ICML 2020 Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning ICML 2020 People Do Not Just Plan,They Plan to Plan AAAI 2020 Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes AAAI 2020 Task Scoping for Efficient Planning in Open Worlds (Student Abstract) AAAI 2020 Value Preserving State-Action Abstractions AISTATS 2020