Proximal Curriculum for Reinforcement Learning Agents

25 April 2023

Papers citing "Proximal Curriculum for Reinforcement Learning Agents"

8 / 8 papers shown

Title
Knowledge capture, adaptation and composition (KCAC): A framework for cross-task curriculum learning in robotic manipulation Xinrui Wang Yan Jin 19 0 0 15 May 2025
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks Michael T. Matthews Michael Beukman Chris Xiaoxuan Lu Jakob Foerster OffRL AI4CE 36 2 0 30 Oct 2024
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery Alexander Rutherford Michael Beukman Timon Willi Bruno Lacerda Nick Hawes Jakob Foerster 46 5 0 27 Aug 2024
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning Georgios Tzannetos Parameswaran Kamalaruban Adish Singla 19 4 0 03 May 2024
Learning Embeddings for Sequential Tasks Using Population of Agents Mridul Mahajan Georgios Tzannetos Goran Radanović Adish Singla FedML 20 0 0 05 Jun 2023
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 119 95 0 06 Oct 2021
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning Pascal Klink Hany Abdulsamad Boris Belousov Carlo DÉramo Jan Peters J. Pajarinen 38 23 0 25 Feb 2021
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 132 457 0 10 Mar 2020