Anti-Exploration by Random Network Distillation

31 January 2023

Papers citing "Anti-Exploration by Random Network Distillation"

24 / 24 papers shown

Title
FastFT: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies Tianqi He Xiaohan Huang Yi Du Qingqing Long Ziyue Qiao Min-Ying Wu Yanjie Fu Yuanchun Zhou Meng Xiao OffRL 93 2 0 26 Mar 2025
An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces Alex Beeson David Ireland Giovanni Montana OffRL 37 0 0 17 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
The Role of Deep Learning Regularizations on Actors in Offline RL Denis Tarasov Anja Surina Çağlar Gülçehre OffRL AI4CE 48 1 0 11 Sep 2024
Offline Model-Based Reinforcement Learning with Anti-Exploration Padmanaba Srinivasan William J. Knottenbelt OffRL 49 0 0 20 Aug 2024
SelfBC: Self Behavior Cloning for Offline Reinforcement Learning Shirong Liu Chenjia Bai Zixian Guo Hao Zhang Gaurav Sharma Yang Liu OffRL 27 2 0 04 Aug 2024
Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning? Denis Tarasov Kirill Brilliantov Dmitrii Kharlapenko OffRL 30 2 0 10 Jun 2024
Strategically Conservative Q-Learning Yutaka Shimizu Joey Hong Sergey Levine M. Tomizuka OffRL OnRL 37 0 0 06 Jun 2024
Offline Reinforcement Learning with Behavioral Supervisor Tuning Padmanaba Srinivasan William J. Knottenbelt OffRL 27 1 0 25 Apr 2024
Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay Jinmei Liu Wenbin Li Xiangyu Yue Shilin Zhang Chunlin Chen Zhi Wang OffRL DiffM 34 5 0 16 Apr 2024
Distilling LLMs' Decomposition Abilities into Compact Language Models Denis Tarasov Kumar Shridhar SyDa OffRL LRM 40 2 0 02 Feb 2024
Exploration and Anti-Exploration with Distributional Random Network Distillation Kai Yang Jian Tao Jiafei Lyu Xiu Li 32 14 0 18 Jan 2024
Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation Shaopeng Zhai Jie Wang Tianyi Zhang Fuxian Huang Qi Zhang Ming Zhou Jing Hou Yu Qiao Yu Liu LLMAG LM&Ro 26 1 0 12 Dec 2023
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption Rui Yang Han Zhong Jiawei Xu Amy Zhang Chong Zhang Lei Han Tong Zhang OffRL OnRL 41 15 0 19 Oct 2023
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples Hao Sun Alihan Huyuk Daniel Jarrett M. Schaar OffRL 34 6 0 11 Oct 2023
Katakomba: Tools and Benchmarks for Data-Driven NetHack Vladislav Kurenkov Alexander Nikulin Denis Tarasov Sergey Kolesnikov OffRL 30 5 0 14 Jun 2023
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? Rui Yang Yong Lin Xiaoteng Ma Haotian Hu Chongjie Zhang Tong Zhang OffRL 21 22 0 30 May 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning Denis Tarasov Vladislav Kurenkov Alexander Nikulin Sergey Kolesnikov OffRL 25 36 0 16 May 2023
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
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 212 837 0 12 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 95 262 0 04 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 252 9,134 0 06 Jun 2015