Towards Evaluating Adaptivity of Model-Based Reinforcement Learning
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Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods

25 April 2022

Yi Wan

Ali Rahimi-Kalahroudi

Janarthanan Rajendran

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Papers citing "Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods"

7 / 7 papers shown

Title
Partial Models for Building Adaptive Model-Based Reinforcement Learning Agents Safa Alver Ali Rahimi-Kalahroudi Doina Precup 109 1 0 27 May 2024
Memory, Space, and Planning: Multiscale Predictive Representations Ida Momennejad 84 3 0 16 Jan 2024
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval Ida Momennejad Hosein Hasanbeig Felipe Vieira Frujeri Hiteshi Sharma Robert Osazuwa Ness Nebojsa Jojic Hamid Palangi Jonathan Larson ELM LLMAG LRM 123 75 0 25 Sep 2023
Curious Replay for Model-based Adaptation Isaac Kauvar Christopher Doyle Linqi Zhou Nick Haber 79 13 0 28 Jun 2023
Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning Ali Rahimi-Kalahroudi Janarthanan Rajendran Ida Momennejad H. V. Seijen Sarath Chandar CLL KELM 92 2 0 15 Mar 2023
A Rubric for Human-like Agents and NeuroAI Ida Momennejad 141 14 0 08 Dec 2022
The Effectiveness of World Models for Continual Reinforcement Learning Samuel Kessler M. Ostaszewski Michal Bortkiewicz M. Żarski Maciej Wołczyk Jack Parker-Holder Stephen J. Roberts Piotr Milo's KELM OffRL CLL 92 10 0 29 Nov 2022