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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

Reinforced Attention for Few-Shot Learning and Beyond CVPR 2021
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning ICML 2021
Settling the Variance of Multi-Agent Policy Gradients NIPS 2021
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion ICML 2021
Learning Opinion Summarizers by Selecting Informative Reviews EMNLP 2021
Characterizing the Gap Between Actor-Critic and Policy Gradient ICML 2021
Robust Asymmetric Learning in POMDPs ICML 2021
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time ICML 2021
On the Linear Convergence of Policy Gradient Methods for Finite MDPs AISTATS 2021
Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods ICML 2021
Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence AISTATS 2021
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods NIPS 2021
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control L4DC 2021
Policy Gradient Bayesian Robust Optimization for Imitation Learning ICML 2021
Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning EACL 2021
Discovering symbolic policies with deep reinforcement learning ICML 2021
Towards Deeper Deep Reinforcement Learning with Spectral Normalization NIPS 2021
Adversarial Policy Learning in Two-player Competitive Games ICML 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity IJCAI 2021
On Proximal Policy Optimization’s Heavy-tailed Gradients ICML 2021
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates NIPS 2021
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate AAAI 2021
Phasic Policy Gradient ICML 2021