AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents

AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents

15 October 2023

Linxi Fan

Papers citing "AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents"

15 / 15 papers shown

Title
Text-to-Decision Agent: Learning Generalist Policies from Natural Language Supervision Shilin Zhang Zican Hu Wenhao Wu Xinyi Xie Jianxiang Tang Chunlin Chen Daoyi Dong Yu Cheng Zhenhong Sun Zhi Wang OffRL 66 0 0 21 Apr 2025
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity Robby Costales Stefanos Nikolaidis AI4CE 23 0 0 07 Nov 2024
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs Ilya Zisman Alexander Nikulin Andrei Polubarov Nikita Lyubaykin Vladislav Kurenkov Andrei Polubarov Igor Kiselev Vladislav Kurenkov OffRL 44 1 0 04 Nov 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement Zhi Wang Li Lyna Zhang Wenhao Wu Yuanheng Zhu Dongbin Zhao C. L. Philip Chen OffRL 33 6 0 15 Oct 2024
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems Jianliang He Siyu Chen Fengzhuo Zhang Zhuoran Yang LM&Ro LLMAG 40 2 0 30 May 2024
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate Fan Luo Zuolin Tu Zefang Huang Yang Yu OffRL 32 0 0 24 May 2024
Stabilizing Transformer Training by Preventing Attention Entropy Collapse Shuangfei Zhai Tatiana Likhomanenko Etai Littwin Dan Busbridge Jason Ramapuram Yizhe Zhang Jiatao Gu J. Susskind AAML 38 64 0 11 Mar 2023
Structured State Space Models for In-Context Reinforcement Learning Chris Xiaoxuan Lu Yannick Schroecker Albert Gu Emilio Parisotto Jakob N. Foerster Satinder Singh Feryal M. P. Behbahani AI4TS 84 81 0 07 Mar 2023
You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments Keiran Paster Sheila A. McIlraith Jimmy Ba OffRL 133 27 0 31 May 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 85 178 0 16 May 2022
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability Dibya Ghosh Jad Rahme Aviral Kumar Amy Zhang Ryan P. Adams Sergey Levine OffRL 270 108 0 13 Jul 2021
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies Soroush Nasiriany Vitchyr H. Pong Ashvin Nair Alexander Khazatsky Glen Berseth Sergey Levine OffRL 58 14 0 23 Apr 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,944 0 04 May 2020
Soft Actor-Critic for Discrete Action Settings Petros Christodoulou OffRL 104 292 0 16 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017