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Policy Gradient Methods

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Showing 1–50 of 382 papers

TitleStatusHype
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
Enhanced DACER Algorithm with High Diffusion Efficiency—0
Equivalence of stochastic and deterministic policy gradients—0
On Global Convergence Rates for Federated Policy Gradient under Heterogeneous Environment—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
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language ModelsCode3
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
Residual Policy Gradient: A Reward View of KL-regularized Objective—0
ROCM: RLHF on consistency models—0
Convergence Guarantees of Model-free Policy Gradient Methods for LQR with Stochastic DataCode0
SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin—0
A Self-Supervised Reinforcement Learning Approach for Fine-Tuning Large Language Models Using Cross-Attention Signals—0
Reevaluating Policy Gradient Methods for Imperfect-Information GamesCode1
Fine-Tuning Discrete Diffusion Models with Policy Gradient MethodsCode1
Computing and Learning Stationary Mean Field Equilibria with Scalar Interactions: Algorithms and Applications—0
Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation—0
Divergence-Augmented Policy OptimizationCode1
An Attentive Graph Agent for Topology-Adaptive Cyber DefenceCode1
Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement LearningCode0
Self-Interested Agents in Collaborative Learning: An Incentivized Adaptive Data-Centric Framework—0
Reinforcement Learning: An OverviewCode0
BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings—0
Solving Rubik's Cube Without Tricky Sampling—0
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay BuffersCode1
Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning—0
Policy Gradient for Robust Markov Decision ProcessesCode0
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach—0
StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMsCode1
Learning in complex action spaces without policy gradients—0
Strongly-polynomial time and validation analysis of policy gradient methods—0
Landscape of Policy Optimization for Finite Horizon MDPs with General State and Action—0
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph FormCode0
Reinforcement Learning for Causal Discovery without Acyclicity Constraints—0
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs—0
From Imitation to Refinement -- Residual RL for Precise Assembly—0
PG-Rainbow: Using Distributional Reinforcement Learning in Policy Gradient Methods—0
Towards Adapting Reinforcement Learning Agents to New Tasks: Insights from Q-Values—0
Augmented Bayesian Policy Search—0
Improving Reward-Conditioned Policies for Multi-Armed Bandits using Normalized Weight Functions—0
Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture—0
Optimal Rates of Convergence for Entropy Regularization in Discounted Markov Decision Processes—0
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