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Policy Gradient Methods

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Showing 51–100 of 382 papers

TitleStatusHype
Analysis and Improvement of Policy Gradient Estimation—0
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts—0
Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization—0
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods—0
Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning—0
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization—0
Exchangeable Input Representations for Reinforcement Learning—0
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs—0
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning—0
Momentum-Based Policy Gradient with Second-Order Information—0
A unified view of entropy-regularized Markov decision processes—0
Commodities Trading through Deep Policy Gradient Methods—0
Equivalence Between Policy Gradients and Soft Q-Learning—0
Equivalence of stochastic and deterministic policy gradients—0
Augmented Bayesian Policy Search—0
A K-fold Method for Baseline Estimation in Policy Gradient Algorithms—0
Accelerated Reinforcement Learning—0
Optimal Rates of Convergence for Entropy Regularization in Discounted Markov Decision Processes—0
Asynchronous Multi-Agent Actor-Critic with Macro-Actions—0
A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression—0
Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods—0
Actor-Critic Reinforcement Learning with Phased Actor—0
Deep Policy Gradient Methods in Commodity Markets—0
Assumption Questioning: Latent Copying and Reward Exploitation in Question Generation—0
Entropy annealing for policy mirror descent in continuous time and space—0
Evolutionary Policy Optimization—0
DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning—0
A Self-Supervised Reinforcement Learning Approach for Fine-Tuning Large Language Models Using Cross-Attention Signals—0
Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture—0
Curious Explorer: a provable exploration strategy in Policy Learning—0
A Study of Policy Gradient on a Class of Exactly Solvable Models—0
Deep Reinforcement Learning based Blind mmWave MIMO Beam Alignment—0
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning—0
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs—0
Difference Rewards Policy Gradients—0
A reinterpretation of the policy oscillation phenomenon in approximate policy iteration—0
Asynchronous stochastic approximations with asymptotically biased errors and deep multi-agent learning—0
Adversarial Policy Gradient for Alternating Markov Games—0
Countering Language Drift via Grounding—0
Diverse Exploration via Conjugate Policies for Policy Gradient Methods—0
AUGMENTED POLICY GRADIENT METHODS FOR EFFICIENT REINFORCEMENT LEARNING—0
A Large Deviations Perspective on Policy Gradient Algorithms—0
Efficient Baseline-free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE—0
Correcting discount-factor mismatch in on-policy policy gradient methods—0
Reinforcement Learning for Causal Discovery without Acyclicity Constraints—0
Efficient Wasserstein and Sinkhorn Policy Optimization—0
Approximation Benefits of Policy Gradient Methods with Aggregated States—0
Elementary Analysis of Policy Gradient Methods—0
End-to-End Neuro-Symbolic Architecture for Image-to-Image Reasoning Tasks—0
Convergence of policy gradient methods for finite-horizon exploratory linear-quadratic control problems—0
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