Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience

24 September 2021

Papers citing "Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience"

8 / 8 papers shown

Title
Mining-Gym: A Configurable RL Benchmarking Environment for Truck Dispatch Scheduling C. Banerjee Kien Nguyen Clinton Fookes OffRL 56 0 0 24 Mar 2025
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training Pihe Hu Shaolong Li Zhuoran Li L. Pan Longbo Huang 21 0 0 28 Sep 2024
Double Actor-Critic with TD Error-Driven Regularization in Reinforcement Learning Haohui Chen Zhiyong Chen Aoxiang Liu Wentuo Fang OffRL 33 0 0 28 Sep 2024
Revisiting Experience Replayable Conditions Taisuke Kobayashi 32 3 0 15 Feb 2024
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems C. Banerjee Kien Nguyen Clinton Fookes M. Raissi PINN AI4CE 23 9 0 05 Sep 2023
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States C. Banerjee Zhiyong Chen N. Noman 26 3 0 01 Oct 2022
Revisiting Discrete Soft Actor-Critic Haibin Zhou Zichuan Lin Junyou Li Qiang Fu Wei Yang Deheng Ye 46 12 0 21 Sep 2022
Adaptive Rational Activations to Boost Deep Reinforcement Learning Quentin Delfosse P. Schramowski Martin Mundt Alejandro Molina Kristian Kersting 37 14 0 18 Feb 2021