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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

On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting NIPS 2022
Tutoring Helps Students Learn Better: Improving Knowledge Distillation for BERT with Tutor Network EMNLP 2022
On the convergence of policy gradient methods to Nash equilibria in general stochastic games NIPS 2022
Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic AAAI 2022
TaSIL: Taylor Series Imitation Learning NIPS 2022
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning ACL 2022
DECORE: Deep Compression With Reinforcement Learning CVPR 2022
Lexicographic Multi-Objective Reinforcement Learning IJCAI 2022
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions NIPS 2022
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization ICML 2022
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems NAACL 2022
Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation NAACL 2022
Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems JMLR 2022
Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient NIPS 2022
Reinforcement Learning with Large Action Spaces for Neural Machine Translation COLING 2022
Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms AISTATS 2022
Policy Optimization with Stochastic Mirror Descent AAAI 2022
Robust Reinforcement Learning: A Constrained Game-theoretic Approach L4DC 2021
GRAC: Self-Guided and Self-Regularized Actor-Critic CORL 2021
Discrete-Continuous Action Space Policy Gradient-Based Attention for Image-Text Matching CVPR 2021
Reinforced Attention for Few-Shot Learning and Beyond CVPR 2021
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning ICML 2021
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion ICML 2021
Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation AAAI 2021
Characterizing the Gap Between Actor-Critic and Policy Gradient ICML 2021