policy gradient

518 papers

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Also known as

SPG A3C CPGA DPG VPG 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

One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction IJCAI 2023

Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method NIPS 2023

Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees JMLR 2023

Aligning Language Models with Preferences through $f$-divergence Minimization ICML 2023

Optimizing DDPM Sampling with Shortcut Fine-Tuning ICML 2023

Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning L4DC 2023

A Tale of Sampling and Estimation in Discounted Reinforcement Learning AISTATS 2023

Enhancing Language Model with Unit Test Techniques for Efficient Regular Expression Generation EMNLP 2023

Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models CORL 2023

Correcting discount-factor mismatch in on-policy policy gradient methods ICML 2023

Reinforcement Learning for Topic Models ACL 2023

Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning EMNLP 2023

Human-in-the-loop Abstractive Dialogue Summarization ACL 2023

Off-Policy Actor-Critic with Emphatic Weightings JMLR 2023

Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm AAAI 2023

On Many-Actions Policy Gradient ICML 2023

Policy Gradient for Rectangular Robust Markov Decision Processes NIPS 2023

An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient NIPS 2023

Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies ICML 2023

Physics-Informed Model-Based Reinforcement Learning L4DC 2023

Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks NIPS 2023

Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms NIPS 2023

Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data EMNLP 2023

Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient AAAI 2023

A Risk-Sensitive Approach to Policy Optimization AAAI 2023