Emergence of In-Context Reinforcement Learning from Noise Distillation

Emergence of In-Context Reinforcement Learning from Noise Distillation

19 December 2023

Vladislav Kurenkov

Alexander Nikulin

Viacheslav Sinii

Sergey Kolesnikov

Papers citing "Emergence of In-Context Reinforcement Learning from Noise Distillation"

12 / 12 papers shown

Title
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning Jaehyeon Son Soochan Lee Gunhee Kim OffRL 72 1 0 26 Feb 2025
Yes, Q-learning Helps Offline In-Context RL Denis Tarasov Alexander Nikulin Ilya Zisman Albina Klepach Andrei Polubarov Nikita Lyubaykin Alexander Derevyagin Igor Kiselev Vladislav Kurenkov OffRL OnRL 106 0 0 24 Feb 2025
HVAC-DPT: A Decision Pretrained Transformer for HVAC Control Anaïs Berkes AI4CE 69 0 0 29 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
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning Alexander Nikulin Ilya Zisman Alexey Zemtsov Viacheslav Sinii 105 4 0 13 Jun 2024
Benchmarking General-Purpose In-Context Learning Fan Wang Chuan Lin Yang Cao Yu Kang 30 1 0 27 May 2024
In-Context Reinforcement Learning for Variable Action Spaces Viacheslav Sinii Alexander Nikulin Vladislav Kurenkov Ilya Zisman Sergey Kolesnikov 13 14 0 20 Dec 2023
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin Vladislav Kurenkov Ilya Zisman Artem Agarkov Viacheslav Sinii Sergey Kolesnikov 24 23 0 19 Dec 2023
Dungeons and Data: A Large-Scale NetHack Dataset Eric Hambro Roberta Raileanu Dan Rothermel Vegard Mella Tim Rocktaschel Heinrich Küttler Naila Murray OffRL 126 18 0 01 Nov 2022
CORL: Research-oriented Deep Offline Reinforcement Learning Library Denis Tarasov Alexander Nikulin Dmitry Akimov Vladislav Kurenkov Sergey Kolesnikov OffRL 46 78 0 13 Oct 2022
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL Taku Yamagata Ahmed Khalil Raúl Santos-Rodríguez OffRL 151 71 0 08 Sep 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017