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Policy Gradient Methods

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Showing 201–250 of 382 papers

TitleStatusHype
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies—0
Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control—0
Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control—0
Global Optimality Guarantees For Policy Gradient Methods—0
Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles—0
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences—0
Guided Adaptive Credit Assignment for Sample Efficient Policy Optimization—0
Homotopic Policy Mirror Descent: Policy Convergence, Implicit Regularization, and Improved Sample Complexity—0
How are policy gradient methods affected by the limits of control?—0
Identifying Policy Gradient Subspaces—0
Image Captioning based on Deep Reinforcement Learning—0
Improvements on Hindsight Learning—0
Improving a sequence-to-sequence nlp model using a reinforcement learning policy algorithm—0
Improving DAPO from a Mixed-Policy Perspective—0
Improving Reward-Conditioned Policies for Multi-Armed Bandits using Normalized Weight Functions—0
Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling—0
Incremental Policy Gradients for Online Reinforcement Learning Control—0
Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization—0
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence—0
Independent Policy Gradient Methods for Competitive Reinforcement Learning—0
Information Maximizing Exploration with a Latent Dynamics Model—0
Information-Theoretic Opacity-Enforcement in Markov Decision Processes—0
Intervention-Assisted Policy Gradient Methods for Online Stochastic Queuing Network Optimization: Technical Report—0
Is the Policy Gradient a Gradient?—0
KIPPO: Koopman-Inspired Proximal Policy Optimization—0
Landscape of Policy Optimization for Finite Horizon MDPs with General State and Action—0
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior—0
Learning Dynamics and Generalization in Reinforcement Learning—0
Learning from Algorithm Feedback: One-Shot SAT Solver Guidance with GNNs—0
Learning in complex action spaces without policy gradients—0
Learning Novel Policies For Tasks—0
Learning Self-Imitating Diverse Policies—0
Learning to Interrupt: A Hierarchical Deep Reinforcement Learning Framework for Efficient Exploration—0
Lifelong Learning of Factored Policies via Policy Gradients—0
Policy Gradient Methods for Distortion Risk Measures—0
Linear convergence of a policy gradient method for some finite horizon continuous time control problems—0
Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies—0
Linear Function Approximation as a Computationally Efficient Method to Solve Classical Reinforcement Learning Challenges—0
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods—0
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning—0
Local Pairwise Distance Matching for Backpropagation-Free Reinforcement Learning—0
Manifold Regularization for Kernelized LSTD—0
Optimal Control-Based Baseline for Guided Exploration in Policy Gradient Methods—0
Learning to Constrain Policy Optimization with Virtual Trust Region—0
Meta Learning the Step Size in Policy Gradient Methods—0
Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation—0
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment—0
Mollification Effects of Policy Gradient Methods—0
Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach—0
Multiagent Soft Q-Learning—0
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