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Policy Gradient Methods

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TitleStatusHype
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language ModelsCode3
Ekar: An Explainable Method for Knowledge Aware RecommendationCode2
Proximal Policy Optimization AlgorithmsCode2
Reevaluating Policy Gradient Methods for Imperfect-Information GamesCode1
Fine-Tuning Discrete Diffusion Models with Policy Gradient MethodsCode1
Divergence-Augmented Policy OptimizationCode1
An Attentive Graph Agent for Topology-Adaptive Cyber DefenceCode1
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay BuffersCode1
StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMsCode1
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but ImprovementCode1
Neural Inventory Control in Networks via Hindsight Differentiable Policy OptimizationCode1
Efficient Diffusion Policies for Offline Reinforcement LearningCode1
Policy Gradient Methods in the Presence of Symmetries and State AbstractionsCode1
Online Portfolio Management via Deep Reinforcement Learning with High-Frequency DataCode1
Partial advantage estimator for proximal policy optimizationCode1
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy OptimizationCode1
Continuous MDP Homomorphisms and Homomorphic Policy GradientCode1
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement LearningCode1
The Sufficiency of Off-Policyness and Soft Clipping: PPO is still Insufficient according to an Off-Policy MeasureCode1
Episodic Policy Gradient TrainingCode1
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent DesignCode1
Learning Opinion Summarizers by Selecting Informative ReviewsCode1
Model-free Policy Learning with Reward GradientsCode1
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy SearchCode1
Learning Multi-Agent Communication through Structured Attentive ReasoningCode1
Experimental design for MRI by greedy policy searchCode1
Efficient Wasserstein Natural Gradients for Reinforcement LearningCode1
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without ForgettingCode1
Deep Bayesian Quadrature Policy OptimizationCode1
Competitive Policy OptimizationCode1
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement LearningCode1
Distributional Policy Optimization: An Alternative Approach for Continuous ControlCode1
Bayesian Action Decoder for Deep Multi-Agent Reinforcement LearningCode1
Self-critical Sequence Training for Image CaptioningCode1
Trust Region Policy OptimizationCode1
Improving DAPO from a Mixed-Policy Perspective—0
Local Pairwise Distance Matching for Backpropagation-Free Reinforcement Learning—0
Solving Zero-Sum Convex Markov Games—0
On Global Convergence Rates for Federated Policy Gradient under Heterogeneous Environment—0
Equivalence of stochastic and deterministic policy gradients—0
Enhanced DACER Algorithm with High Diffusion Efficiency—0
Learning from Algorithm Feedback: One-Shot SAT Solver Guidance with GNNs—0
Policy Testing in Markov Decision Processes—0
KIPPO: Koopman-Inspired Proximal Policy Optimization—0
Self-Evolving Curriculum for LLM Reasoning—0
Token-Efficient RL for LLM Reasoning—0
Evolutionary Policy Optimization—0
Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive TargetsCode0
Ordering-based Conditions for Global Convergence of Policy Gradient Methods—0
Analysis of On-policy Policy Gradient Methods under the Distribution Mismatch—0
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