conftrace_

predictive state representation

24 papers

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Also known as

PSR

Co-occurring keywords · papers mentioning both

reinforcement learning (7) spectral learning (5) partially observable markov decision process (4) recurrent neural network (3) dynamical system (3) partial observability (3) state estimation (3) sample complexity (3) partially observable system (2) partially observable environment (2)

Papers

Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes ICLR 2024 Provably Efficient UCB-type Algorithms For Learning Predictive State Representations ICLR 2024 PAC Reinforcement Learning for Predictive State Representations ICLR 2023 Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms ICLR 2023 Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition ICML 2023 Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory ICLR 2022 Reconciling Rewards with Predictive State Representations IJCAI 2021 RL for Latent MDPs: Regret Guarantees and a Lower Bound NeurIPS 2021 Successor Feature Sets: Generalizing Successor Representations Across Policies AAAI 2021 Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning AISTATS 2020 Completing State Representations using Spectral Learning NeurIPS 2018 Recurrent Predictive State Policy Networks ICML 2018 Predictive-State Decoders: Encoding the Future into Recurrent Networks NeurIPS 2017 Predictive State Recurrent Neural Networks NeurIPS 2017 Spectral Learning from a Single Trajectory under Finite-State Policies ICML 2017 Links Between Multiplicity Automata, Observable Operator Models and Predictive State Representations -- a Unified Learning Framework JMLR 2015 Low-Rank Spectral Learning with Weighted Loss Functions AISTATS 2015 Efficient Learning and Planning with Compressed Predictive States JMLR 2014 Optimizing Energy Production Using Policy Search and Predictive State Representations NeurIPS 2014 Average Reward Optimization Objective In Partially Observable Domains ICML 2013 Modelling Sparse Dynamical Systems with Compressed Predictive State Representations ICML 2013 Closing the Learning-Planning Loop with Predictive State Representations RSS 2010 Predictive State Temporal Difference Learning NeurIPS 2010 Reduced-Rank Hidden Markov Models AISTATS 2010