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Policy Gradient Methods

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Showing 51–75 of 382 papers

TitleStatusHype
Entropy annealing for policy mirror descent in continuous time and space—0
Mollification Effects of Policy Gradient Methods—0
Linear Function Approximation as a Computationally Efficient Method to Solve Classical Reinforcement Learning Challenges—0
Matrix Low-Rank Approximation For Policy Gradient MethodsCode0
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence—0
Almost sure convergence rates of stochastic gradient methods under gradient domination—0
An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning—0
Federated Reinforcement Learning with Constraint Heterogeneity—0
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline—0
Information-Theoretic Opacity-Enforcement in Markov Decision Processes—0
Control randomisation approach for policy gradient and application to reinforcement learning in optimal switching—0
Actor-Critic Reinforcement Learning with Phased Actor—0
Intervention-Assisted Policy Gradient Methods for Online Stochastic Queuing Network Optimization: Technical Report—0
Elementary Analysis of Policy Gradient Methods—0
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but ImprovementCode1
ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy—0
Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles—0
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries—0
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis—0
Provable Policy Gradient Methods for Average-Reward Markov Potential Games—0
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process—0
Fill-and-Spill: Deep Reinforcement Learning Policy Gradient Methods for Reservoir Operation Decision and Control—0
Towards Provable Log Density Policy Gradient—0
Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate—0
When Do Off-Policy and On-Policy Policy Gradient Methods Align?—0
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