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

Learning to Optimize Job Shop Scheduling Under Structural Uncertainty AAAI 2026

Persona, Ego, Shadow, and Self: A Map of the Soul Framework for Proto-Emotional Homeostasis in AI AAAI 2026

Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning AAAI 2026

Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation AAAI 2026

Risk-Sensitive Exponential Actor Critic AAAI 2026

MS-PPO: Mean Standard Deviation Proximal Policy Optimization for Reliable Parking Space Search in Structured Environments AAAI 2026

LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration AAAI 2026

CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract) AAAI 2026

Pseudo-Likelihood Training for Reasoning Diffusion Language Models EACL 2026

Energy Matching based Preference Learning for Diffusion Language Models EACL 2026

Stabilizing Policy Gradient Methods via Reward Profiling AAAI 2026

Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions AAAI 2026

Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling AAAI 2025

Fast Explanations via Policy Gradient-Optimized Explainer IJCAI 2025

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning ACL 2025

Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs AAAI 2025

Differentiable Information Enhanced Model-Based Reinforcement Learning AAAI 2025

FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading ACL 2025

Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs IJCAI 2025

Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation IJCAI 2025

AdaDiff: Adaptive Step Selection for Fast Diffusion Models AAAI 2025

Truncated Gaussian Policy for Debiased Continuous Control AAAI 2025

KIPPO: Koopman-Inspired Proximal Policy Optimization IJCAI 2025

SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin EMNLP 2025

Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF JMLR 2025