Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research

7 July 2021

Papers citing "Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research"

4 / 4 papers shown

Title
A Survey of Reinforcement Learning for Optimization in Automation Ahmad Farooq Kamran Iqbal OffRL 79 1 0 13 Feb 2025
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,944 0 04 May 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip H. S. Torr Pushmeet Kohli Shimon Whiteson OffRL 109 592 0 28 Feb 2017