eligibility trace

Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation UAI 2025 Partially Observable Reinforcement Learning with Memory Traces ICML 2025 Real-Time Recurrent Reinforcement Learning AAAI 2025 Discerning Temporal Difference Learning AAAI 2024 From Past to Future: Rethinking Eligibility Traces AAAI 2024 Parallelizing Model-based Reinforcement Learning Over the Sequence Length NeurIPS 2024 Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning ICML 2023 Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators NeurIPS 2022 Truncated Emphatic Temporal Difference Methods for Prediction and Control JMLR 2022 Expected Eligibility Traces AAAI 2021 A Local Temporal Difference Code for Distributional Reinforcement Learning NeurIPS 2020 Reconciling λ-Returns with Experience Replay NeurIPS 2019 A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning IJCAI 2018 Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018 On Generalized Bellman Equations and Temporal-Difference Learning JMLR 2018 A Functional Dynamic Boltzmann Machine IJCAI 2017 A forward model at Purkinje cell synapses facilitates cerebellar anticipatory control NeurIPS 2016 True Online Temporal-Difference Learning JMLR 2016 On the Rate of Convergence and Error Bounds for LSTD(λ) ICML 2015 A new Q(lambda) with interim forward view and Monte Carlo equivalence ICML 2014 Off-policy Learning With Eligibility Traces: A Survey JMLR 2014 True Online TD(lambda) ICML 2014 Temporal Difference Updating without a Learning Rate NeurIPS 2007 iLSTD: Eligibility Traces and Convergence Analysis NeurIPS 2006