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

Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions UAI 2023

AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders CVPR 2023

Policy Gradient in Robust MDPs with Global Convergence Guarantee ICML 2023

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

Policy Gradient Play with Networked Agents in Markov Potential Games L4DC 2023

On Many-Actions Policy Gradient ICML 2023

Representation-Driven Reinforcement Learning ICML 2023

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

Fractal Landscapes in Policy Optimization NIPS 2023

Quantile Credit Assignment ICML 2023

Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling ICML 2023

Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators ICML 2023

DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm ICML 2023

Reparameterized Policy Learning for Multimodal Trajectory Optimization ICML 2023

On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures ICML 2023

Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics ICML 2023

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

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

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

Optimizing DDPM Sampling with Shortcut Fine-Tuning ICML 2023

Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning ICML 2023

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

Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space ICML 2023

Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games JMLR 2023

A Coupled Flow Approach to Imitation Learning ICML 2023