actor-critic method

Characterizing the Gap Between Actor-Critic and Policy Gradient ICML 2021 Continuous-time Model-based Reinforcement Learning ICML 2021 Phasic Policy Gradient ICML 2021 Provably Correct Optimization and Exploration with Non-linear Policies ICML 2021 What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study ICLR 2021 Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations IJCAI 2020 Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning IJCAI 2020 RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering ICLR 2020 Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems L4DC 2020 A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs ACML 2019 Actor-Critic Instance Segmentation CVPR 2019 Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience AAAI 2019 Enhanced Bayesian Compression via Deep Reinforcement Learning CVPR 2019 Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control IJCAI 2019 Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning ICML 2019 A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping CVPR 2018 Addressing Function Approximation Error in Actor-Critic Methods ICML 2018 Guide Actor-Critic for Continuous Control ICLR 2018 The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning ICLR 2018 Learning what to read: Focused machine reading EMNLP 2017 Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation NeurIPS 2017 Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods EMNLP 2017 Hippocampal Contributions to Control: The Third Way NeurIPS 2007 Incremental Natural Actor-Critic Algorithms NeurIPS 2007 Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NeurIPS 2007