Deep Transformer Q-Networks for Partially Observable Reinforcement Learning

2 June 2022

Papers citing "Deep Transformer Q-Networks for Partially Observable Reinforcement Learning"

20 / 20 papers shown

Title
Do We Need Transformers to Play FPS Video Games? Karmanbir Batth Krish Sethi Aly Shariff Leo Shi Hetul Patel OffRL AI4CE 22 0 0 24 Apr 2025
ColorDynamic: Generalizable, Scalable, Real-time, End-to-end Local Planner for Unstructured and Dynamic Environments Jinghao Xin Zhichao Liang Zihuan Zhang Peng Wang Ning Li 57 0 0 27 Feb 2025
Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning Egor Cherepanov Nikita Kachaev A. Kovalev Aleksandr I. Panov OffRL 34 0 0 14 Feb 2025
MarineFormer: A Transformer-based Navigation Policy Model for Collision Avoidance in Marine Environment Ehsan Kazemi Iman Soltani 83 1 0 17 Oct 2024
PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion Runsong Zhu Shi Qiu Qianyi Wu Ka-Hei Hui Pheng-Ann Heng Chi-Wing Fu 24 3 0 14 Oct 2024
An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning Christopher Amato OffRL 21 8 0 04 Sep 2024
Decision Transformer as a Foundation Model for Partially Observable Continuous Control Xiangyuan Zhang Weichao Mao Haoran Qiu Tamer Basar OffRL AI4CE 24 5 0 03 Apr 2024
Mastering Memory Tasks with World Models Mohammad Reza Samsami Artem Zholus Janarthanan Rajendran Sarath Chandar CLL OffRL 29 21 0 07 Mar 2024
Large Language Models as Generalizable Policies for Embodied Tasks Andrew Szot Max Schwarzer Harsh Agrawal Bogdan Mazoure Walter A. Talbott Katherine Metcalf Natalie Mackraz Devon Hjelm Alexander Toshev LM&Ro 22 57 0 26 Oct 2023
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 24 18 0 12 Jul 2023
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment Tianwei Ni Michel Ma Benjamin Eysenbach Pierre-Luc Bacon OffRL 18 34 0 07 Jul 2023
Deep Attention Q-Network for Personalized Treatment Recommendation Simin Ma Junghwan Lee N. Serban Shihao Yang OffRL 22 5 0 04 Jul 2023
RL $^3$ : Boosting Meta Reinforcement Learning via RL inside RL $^2$ Abhinav Bhatia Samer B. Nashed S. Zilberstein OffRL 17 0 0 28 Jun 2023
Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction Shuai Xiao Chen Pan Min Wang Xinxin Zhu Siqiao Xue Jing Wang Yun Hu James Y. Zhang Jinghua Feng OffRL 33 2 0 16 Jun 2023
Recurrent Action Transformer with Memory A. Staroverov A. Bessonov Dmitry A. Yudin A. Kovalev Aleksandr I. Panov OffRL 33 4 0 15 Jun 2023
Actor-Critic Methods using Physics-Informed Neural Networks: Control of a 1D PDE Model for Fluid-Cooled Battery Packs Amartya Mukherjee Jun Liu 11 0 0 18 May 2023
Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO) Amartya Mukherjee Jun Liu 12 11 0 01 Feb 2023
A Survey on Transformers in Reinforcement Learning Wenzhe Li Hao Luo Zichuan Lin Chongjie Zhang Zongqing Lu Deheng Ye OffRL MU AI4CE 35 55 0 08 Jan 2023
Decoding surface codes with deep reinforcement learning and probabilistic policy reuse E. S. Matekole Esther Ye Ramya Iyer Samuel Yen-Chi Chen 11 2 0 22 Dec 2022
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 251 2,012 0 28 Jul 2020