Foundation Models for Semantic Novelty in Reinforcement Learning

9 November 2022

Papers citing "Foundation Models for Semantic Novelty in Reinforcement Learning"

7 / 7 papers shown

Title
Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation Models Alain Andres Javier Del Ser OffRL 26 0 0 09 Oct 2024
The Essential Role of Causality in Foundation World Models for Embodied AI Tarun Gupta Wenbo Gong Chao Ma Nick Pawlowski Agrin Hilmkil ... Jianfeng Gao Stefan Bauer Danica Kragic Bernhard Schölkopf Cheng Zhang 30 15 0 06 Feb 2024
Semantic HELM: A Human-Readable Memory for Reinforcement Learning Fabian Paischer Thomas Adler M. Hofmarcher Sepp Hochreiter 21 9 0 15 Jun 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 27 5 0 18 May 2023
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning Thomas Carta Clément Romac Thomas Wolf Sylvain Lamprier Olivier Sigaud Pierre-Yves Oudeyer LM&Ro LLMAG 17 178 0 06 Feb 2023
Improving Intrinsic Exploration with Language Abstractions Jesse Mu Victor Zhong Roberta Raileanu Minqi Jiang Noah D. Goodman Tim Rocktaschel Edward Grefenstette 97 63 0 17 Feb 2022
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval Huaishao Luo Lei Ji Ming Zhong Yang Chen Wen Lei Nan Duan Tianrui Li CLIP VLM 309 780 0 18 Apr 2021