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Policy Gradient Methods

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TitleStatusHype
Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach—0
Non-Parametric Stochastic Policy Gradient with Strategic Retreat for Non-Stationary Environment—0
Linear convergence of a policy gradient method for some finite horizon continuous time control problems—0
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo—0
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence—0
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation—0
Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methodsCode0
Homotopic Policy Mirror Descent: Policy Convergence, Implicit Regularization, and Improved Sample Complexity—0
Understanding the Effects of Second-Order Approximations in Natural Policy Gradient Reinforcement LearningCode0
On the Convergence Rates of Policy Gradient Methods—0
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design—0
MDPGT: Momentum-based Decentralized Policy Gradient TrackingCode0
Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control—0
Time Discretization-Invariant Safe Action Repetition for Policy Gradient MethodsCode0
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch—0
Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution—0
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings—0
Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization—0
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning—0
Stabilizing Dynamical Systems via Policy Gradient Methods—0
Programmatic Reinforcement Learning without Oracles—0
Variance Reduced Domain Randomization for Policy Gradient—0
Efficient Wasserstein and Sinkhorn Policy Optimization—0
Sample-efficient actor-critic algorithms with an etiquette for zero-sum Markov games—0
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game—0
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