Phasic Policy Gradient

9 September 2020

Papers citing "Phasic Policy Gradient"

25 / 25 papers shown

Title
BQSched: A Non-intrusive Scheduler for Batch Concurrent Queries via Reinforcement Learning Chenhao Xu Chunyu Chen Jinglin Peng Jiannan Wang Jun Gao OffRL AI4TS 50 0 0 27 Apr 2025
A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks L. Felizardo Edoardo Fadda Paolo Brandimarte E. Del-Moral-Hernandez Mariá Cristina Vasconcelos Nascimento OffRL 30 0 0 07 Apr 2025
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning Samuel Garcin Trevor A. McInroe Pablo Samuel Castro Prakash Panangaden Christopher G. Lucas David Abel Stefano V. Albrecht 56 0 0 08 Mar 2025
Adaptive Data Exploitation in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 175 0 0 22 Jan 2025
The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and Implementations Matthias Lehmann 38 0 0 24 Jan 2024
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 33 8 0 15 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 78 5 0 13 Dec 2023
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
Truncating Trajectories in Monte Carlo Reinforcement Learning Riccardo Poiani Alberto Maria Metelli Marcello Restelli 24 2 0 07 May 2023
Scaling laws for single-agent reinforcement learning Jacob Hilton Jie Tang John Schulman 22 20 0 31 Jan 2023
PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNav Ram Ramrakhya Dhruv Batra Erik Wijmans Abhishek Das OffRL 20 53 0 18 Jan 2023
Contrastive Value Learning: Implicit Models for Simple Offline RL Bogdan Mazoure Benjamin Eysenbach Ofir Nachum Jonathan Tompson SSL OffRL 35 7 0 03 Nov 2022
Broken Neural Scaling Laws Ethan Caballero Kshitij Gupta Irina Rish David M. Krueger 30 74 0 26 Oct 2022
ERL-Re $^2$ : Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation Jianye Hao Pengyi Li Hongyao Tang Yan Zheng Xian Fu Zhaopeng Meng 24 23 0 26 Oct 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 43 20 0 04 Oct 2022
Reinforcement Learning Algorithms: An Overview and Classification Fadi AlMahamid Katarina Grolinger 16 40 0 29 Sep 2022
Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training Gang Chen Victoria Huang OffRL 31 0 0 29 Sep 2022
Learning swimming via deep reinforcement learning Jin Zhang Lei Zhou Bochao Cao 15 1 0 22 Sep 2022
GriddlyJS: A Web IDE for Reinforcement Learning C. Bamford Minqi Jiang Mikayel Samvelyan Tim Rocktaschel OnRL 38 4 0 13 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 30 36 0 03 Jul 2022
Improving Policy Optimization with Generalist-Specialist Learning Zhiwei Jia Xuanlin Li Z. Ling Shuang Liu Yiran Wu H. Su OffRL 29 24 0 26 Jun 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning Yunfei Li Tian Gao Jiaqi Yang Huazhe Xu Yi Wu OffRL 19 22 0 24 Jun 2022
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets Yunfei Li Tao Kong Lei Li Yi Wu 43 4 0 12 Apr 2022
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 56 633 0 30 Aug 2021
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation Emilio Parisotto Ruslan Salakhutdinov 42 44 0 04 Apr 2021