Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions | Paper Citation Record

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Bertsekas,Reinforcement Learning and Optimal Control

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Deep reinforcement learning: A brief survey,

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This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Regularization and feature selection in least- squares temporal difference learning,

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions ℓ 1-penalized projected Bellman residual,

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Sparse reinforcement learning via convex optimization,

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This paper cites Feature selection and feature learning for high-dimensional batch reinforcement learning: A survey,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Feature selection and feature learning for high-dimensional batch reinforcement learning: A survey,

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Sparse Q-learning with mirror descent,

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Sparse proximal reinforcement learning via nested optimization,

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This paper cites Online sparse temporal difference learning based on nested optimization and regularized dual averaging,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Online sparse temporal difference learning based on nested optimization and regularized dual averaging,

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions L1 regularized linear temporal difference learning,

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Least-squares policy iteration,

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This paper cites Regression shrinkage and selection via the lasso,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Regression shrinkage and selection via the lasso,

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This paper cites Hastie, R.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Hastie, R

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This paper cites Variable selection via nonconcave penalized likelihood and its oracle properties,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Variable selection via nonconcave penalized likelihood and its oracle properties,

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Sparse recovery via differential inclusions,

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This paper cites Nearly unbiased variable selection under minimax con- cave penalty,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Nearly unbiased variable selection under minimax con- cave penalty,

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This paper cites Exact reconstruction of sparse signals via nonconvex minimization,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Exact reconstruction of sparse signals via nonconvex minimization,

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Sparse regularization via convex analysis,

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This paper cites On the convergence of the iterative shrinkage/thresholding algorithm with a weakly convex penalty,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions On the convergence of the iterative shrinkage/thresholding algorithm with a weakly convex penalty,

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This paper cites Linearly involved generalized Moreau enhanced models and their proximal splitting algorithm under overall convexity condition,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Linearly involved generalized Moreau enhanced models and their proximal splitting algorithm under overall convexity condition,

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This paper cites Linearly-involved Moreau-enhanced-over-subspace model: Debiased sparse modeling and stable outlier-robust regression,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Linearly-involved Moreau-enhanced-over-subspace model: Debiased sparse modeling and stable outlier-robust regression,

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This paper cites Linear least-squares algorithms for temporal difference learning,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Linear least-squares algorithms for temporal difference learning,

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This paper cites A forward-backward splitting method for monotone inclusions without cocoercivity,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions A forward-backward splitting method for monotone inclusions without cocoercivity,

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This paper cites Efficient methods for structured nonconvex-nonconcave min-max optimization,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Efficient methods for structured nonconvex-nonconcave min-max optimization,

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This paper cites Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity

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This paper cites Beyond the golden ratio for variational inequality algorithms,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Beyond the golden ratio for variational inequality algorithms,

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This paper cites Solving Nonconvex-Nonconcave Min-Max Problems exhibiting Weak Minty Solutions.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Solving Nonconvex-Nonconcave Min-Max Problems exhibiting Weak Minty Solutions

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This paper cites On the convergence properties of non- euclidean extragradient methods for variational inequalities with gen- eralized monotone operators,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions On the convergence properties of non- euclidean extragradient methods for variational inequalities with gen- eralized monotone operators,

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Douglas-rachford algorithm for nonmonotone multioperator inclusion problems,

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This paper cites Convergence of the preconditioned proximal point method and douglas–rachford splitting in the absence of monotonicity,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Convergence of the preconditioned proximal point method and douglas–rachford splitting in the absence of monotonicity,

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Variance-reduced forward-reflected-backward splitting methods for nonmonotone generalized equations,

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This paper cites A forward-reflected-anchored-backward splitting algorithm with double inertial effects for solving non-monotone inclusion problems.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions A forward-reflected-anchored-backward splitting algorithm with double inertial effects for solving non-monotone inclusion problems

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Nonconvex regularization for feature selection in reinforcement learning,

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This paper cites Convergence results for some temporal difference methods based on least squares,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Convergence results for some temporal difference methods based on least squares,

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This paper cites Monotone Lipschitz-gradient denoiser: Explainability of operator regularization approaches free from Lipschitz constant control,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Monotone Lipschitz-gradient denoiser: Explainability of operator regularization approaches free from Lipschitz constant control,

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions D ´ecomposition orthogonale d’un espace Hilbertien selon deux c ˆones mutuellement polaires,

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Fonctions convexes duales et points proximaux dans un espace Hilbertien,

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This paper cites Generalized monotone operators and their averaged resolvents,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Generalized monotone operators and their averaged resolvents,

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This paper cites Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path,

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This paper cites Mercier,Lectures on Topics in Finite Element Solution of Elliptic Problems.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Mercier,Lectures on Topics in Finite Element Solution of Elliptic Problems

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Solving monotone inclusions via compositions of nonexpansive averaged operators,

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Splitting algorithms for the sum of two nonlinear operators,

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This paper cites On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone oper- ators,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone oper- ators,

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Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Rockafellar and R

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This paper cites Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems,

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This paper cites A method for finding the zeros of polynomi- als using a companion matrix,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions A method for finding the zeros of polynomi- als using a companion matrix,

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This paper cites Nonparametric Bellman mappings for reinforcement learning: Application to robust adaptive filtering,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Nonparametric Bellman mappings for reinforcement learning: Application to robust adaptive filtering,

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This paper cites Finite- sample analysis of Lasso-TD,.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Finite- sample analysis of Lasso-TD,

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This paper cites Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions.

Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions

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