state representation

Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? L4DC 2023 Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions ICML 2023 Emergence of Abstract State Representations in Embodied Sequence Modeling EMNLP 2023 ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation ICLR 2023 Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition JMLR 2023 Reachability-Aware Laplacian Representation in Reinforcement Learning ICML 2023 RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking AAAI 2023 SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs UAI 2023 Task-aware world model learning with meta weighting via bi-level optimization NeurIPS 2023 A First-Occupancy Representation for Reinforcement Learning ICLR 2022 Baked-in State Probing EMNLP 2022 Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning AISTATS 2022 CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer ICML 2022 Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control ICML 2022 Learning by Directional Gradient Descent ICLR 2022 Learning Physics Constrained Dynamics Using Autoencoders NeurIPS 2022 Mask-based Latent Reconstruction for Reinforcement Learning NeurIPS 2022 On the Generalization of Representations in Reinforcement Learning AISTATS 2022 Reinforcement Learning with Automated Auxiliary Loss Search NeurIPS 2022 Reinforcement Learning with Neural Radiance Fields NeurIPS 2022 Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent States JMLR 2022 SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning AAAI 2022 Toward Compositional Generalization in Object-Oriented World Modeling ICML 2022 Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation AAAI 2021 Language Representations for Generalization in Reinforcement Learning ACML 2021