Accelerating exploration and representation learning with offline pre-training

31 March 2023

Papers citing "Accelerating exploration and representation learning with offline pre-training"

7 / 7 papers shown

Title
Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance Renming Huang Shaochong Liu Yunqiang Pei Peng Wang Guoqing Wang Yang Yang Hengtao Shen OffRL 19 0 0 06 Sep 2024
To Err is Robotic: Rapid Value-Based Trial-and-Error during Deployment Maximilian Du Alexander Khazatsky Tobias Gerstenberg Chelsea Finn 47 0 0 22 Jun 2024
Code as Reward: Empowering Reinforcement Learning with VLMs David Venuto Sami Nur Islam Martin Klissarov Doina Precup Sherry Yang Ankit Anand VLM 18 9 0 07 Feb 2024
Value Explicit Pretraining for Learning Transferable Representations Kiran Lekkala Henghui Bao S. Sontakke Laurent Itti SSL 17 0 0 19 Dec 2023
Scaling Laws for Imitation Learning in Single-Agent Games Jens Tuyls Dhruv Madeka Kari Torkkola Dean Phillips Foster Karthik Narasimhan Sham Kakade 24 4 0 18 Jul 2023
Can Wikipedia Help Offline Reinforcement Learning? Machel Reid Yutaro Yamada S. Gu 3DV RALM OffRL 127 95 0 28 Jan 2022
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 271 337 0 14 Sep 2020