GMAC: A Distributional Perspective on Actor-Critic Framework

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GMAC: A Distributional Perspective on Actor-Critic Framework

24 May 2021

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Papers citing "GMAC: A Distributional Perspective on Actor-Critic Framework"

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Title
Combining AI Control Systems and Human Decision Support via Robustness and Criticality Walt Woods Alexander Grushin Simon Khan Alvaro Velasquez 55 1 0 03 Jul 2024
Off-policy Distributional Q( $λ$ ): Distributional RL without Importance Sampling Yunhao Tang Mark Rowland Rémi Munos Bernardo Avila-Pires Will Dabney OffRL 54 1 0 08 Feb 2024
A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement Learning Parvin Malekzadeh Konstantinos N. Plataniotis Zissis Poulos Zeyu Wang 76 2 0 04 Jan 2024
Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning Lukas Schneider Jonas Frey Takahiro Miki Marco Hutter 85 12 0 25 Sep 2023
Robust Quadrupedal Locomotion via Risk-Averse Policy Learning Jiyuan Shi Chenjia Bai Haoran He Lei Han Dong Wang Bin Zhao Mingguo Zhao Xiuyang Li Xuelong Li OffRL OOD 80 9 0 18 Aug 2023
PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm Wensong Bai Chao Zhang Yichao Fu Lingwei Peng Hui Qian Bin Dai 73 1 0 11 Jun 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 61 9 0 29 May 2023
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints Dohyeong Kim Kyungjae Lee Songhwai Oh 59 10 0 26 Jan 2023
Invariance to Quantile Selection in Distributional Continuous Control Felix Grün Muhammad Saif-ur-Rehman Tobias Glasmachers Ioannis Iossifidis 32 0 0 29 Dec 2022
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control T. Kanazawa Haiyan Wang Chetan Gupta UQCV 90 4 0 27 Jul 2022
The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning Yunhao Tang Mark Rowland Rémi Munos Bernardo Avila-Pires Will Dabney Marc G. Bellemare OffRL 67 12 0 15 Jul 2022
Robust Reinforcement Learning with Distributional Risk-averse formulation Pierre Clavier S. Allassonnière E. L. Pennec OOD 80 7 0 14 Jun 2022
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks Andrew C. Li Pashootan Vaezipoor Rodrigo Toro Icarte Sheila A. McIlraith OffRL LRM 32 4 0 03 Jun 2022
Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach Bobak Shahriari A. Abdolmaleki Arunkumar Byravan A. Friesen Siqi Liu Jost Tobias Springenberg N. Heess Matthew W. Hoffman Martin Riedmiller OffRL 96 9 0 21 Apr 2022