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policy gradient

518 papers

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Also known as

PG

Co-occurring keywords

reinforcement learning (4122) variance reduction (520) deep reinforcement learning (903) continuous control (246) sample efficiency (469) markov decision process (788) policy optimization (630) sample complexity (1158) off-policy learning (227) multi-agent reinforcement learning (534)

Papers

SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin EMNLP 2025
KIPPO: Koopman-Inspired Proximal Policy Optimization IJCAI 2025
“Yes, My LoRD.” Guiding Language Model Extraction with Locality Reinforced Distillation ACL 2025
Simple Policy Optimization ICML 2025
FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading ACL 2025
Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation IJCAI 2025
AdaDiff: Adaptive Step Selection for Fast Diffusion Models AAAI 2025
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients AISTATS 2024
Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games AISTATS 2024
Information-Theoretic Opacity-Enforcement in Markov Decision Processes IJCAI 2024
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint AISTATS 2024
Policy Gradient Methods in the Presence of Symmetries and State Abstractions JMLR 2024
Vertical Symbolic Regression via Deep Policy Gradient IJCAI 2024
Enhancing Policy Gradient Algorithms with Search in Imperfect Information Games IJCAI 2024
Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning JMLR 2024
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning JMLR 2024
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NIPS 2024
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient AAAI 2024
Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NIPS 2024
Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds JMLR 2024
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers NIPS 2024
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NIPS 2024
A large deviations perspective on policy gradient algorithms L4DC 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient NIPS 2024
Robust Reinforcement Learning with General Utility NIPS 2024