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Policy Gradient Methods

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Showing 101–150 of 382 papers

TitleStatusHype
A reinterpretation of the policy oscillation phenomenon in approximate policy iteration—0
Entropy annealing for policy mirror descent in continuous time and space—0
Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods—0
Adversarial Policy Gradient for Alternating Markov Games—0
Equivalence Between Policy Gradients and Soft Q-Learning—0
Equivalence of stochastic and deterministic policy gradients—0
Optimal Rates of Convergence for Entropy Regularization in Discounted Markov Decision Processes—0
Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization—0
Evolutionary Policy Optimization—0
Evolutionary Selective Imitation: Interpretable Agents by Imitation Learning Without a Demonstrator—0
Improving a sequence-to-sequence nlp model using a reinforcement learning policy algorithm—0
Improvements on Hindsight Learning—0
Expected Policy Gradients for Reinforcement Learning—0
Improving DAPO from a Mixed-Policy Perspective—0
Identifying Policy Gradient Subspaces—0
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game—0
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs—0
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization—0
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning—0
Federated Reinforcement Learning with Constraint Heterogeneity—0
Momentum-Based Policy Gradient with Second-Order Information—0
Fill-and-Spill: Deep Reinforcement Learning Policy Gradient Methods for Reservoir Operation Decision and Control—0
Image Captioning based on Deep Reinforcement Learning—0
Improving Reward-Conditioned Policies for Multi-Armed Bandits using Normalized Weight Functions—0
Fingerprint Policy Optimisation for Robust Reinforcement Learning—0
Focused Hierarchical RNNs for Conditional Sequence Processing—0
Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling—0
Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games—0
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings—0
An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning—0
On Linear Convergence of Policy Gradient Methods for Finite MDPs—0
Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control—0
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies—0
Controlling an Inverted Pendulum with Policy Gradient Methods-A Tutorial—0
Adaptive Step-Size for Policy Gradient Methods—0
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies—0
Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control—0
Control randomisation approach for policy gradient and application to reinforcement learning in optimal switching—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
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee—0
Ad Headline Generation using Self-Critical Masked Language Model—0
Convergence of policy gradient methods for finite-horizon exploratory linear-quadratic control problems—0
How are policy gradient methods affected by the limits of control?—0
Correcting discount-factor mismatch in on-policy policy gradient methods—0
Approximation Benefits of Policy Gradient Methods with Aggregated States—0
Countering Language Drift via Grounding—0
Global Convergence of Policy Gradient Methods for Linearized Control Problems—0
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