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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

Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies NIPS 2021
Robust Policy Gradient against Strong Data Corruption ICML 2021
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift JMLR 2021
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method NIPS 2021
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity NIPS 2021
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning NIPS 2021
RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation IJCNLP 2021
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning AISTATS 2020
A Nonparametric Off-Policy Policy Gradient AISTATS 2020
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms NIPS 2020
An operator view of policy gradient methods NIPS 2020
Semi-Supervised Learning for Video Captioning EMNLP 2020
TaylorGAN: Neighbor-Augmented Policy Update Towards Sample-Efficient Natural Language Generation NIPS 2020
Hierarchical Reinforcement Learning for Open-Domain Dialog AAAI 2020
Learning Task-Driven Control Policies via Information Bottlenecks RSS 2020
Augmenting GAIL with BC for sample efficient imitation learning CORL 2020
Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification EMNLP 2020
Meta-Reinforced Multi-Domain State Generator for Dialogue Systems ACL 2020
Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
Provably Efficient Exploration in Policy Optimization ICML 2020
Optimizing for the Future in Non-Stationary MDPs ICML 2020
Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning ICML 2020
Momentum-Based Policy Gradient Methods ICML 2020
From Importance Sampling to Doubly Robust Policy Gradient ICML 2020
Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning ICML 2020