Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs

11 October 2021

Papers citing "Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs"

19 / 69 papers shown

Title
Filter-Aware Model-Predictive Control Baris Kayalibay Atanas Mirchev Ahmed Agha Patrick van der Smagt Justin Bayer 44 0 0 20 Apr 2023
Habits and goals in synergy: a variational Bayesian framework for behavior Dongqi Han Kenji Doya Dongsheng Li Jun Tani BDL 23 220 0 11 Apr 2023
Active hypothesis testing in unknown environments using recurrent neural networks and model free reinforcement learning George Stamatelis N. Kalouptsidis 24 2 0 19 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 97 83 0 07 Mar 2023
Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation Wenyan Yang A. Angleraud R. Pieters Joni Pajarinen Joni-Kristian Kämäräinen 32 6 0 05 Mar 2023
POPGym: Benchmarking Partially Observable Reinforcement Learning Steven D. Morad Ryan Kortvelesy Matteo Bettini Stephan Liwicki Amanda Prorok OffRL 22 38 0 03 Mar 2023
Graph schemas as abstractions for transfer learning, inference, and planning J. S. Guntupalli Rajkumar Vasudeva Raju Shrinu Kushagra Carter Wendelken Daniel P. Sawyer Ishani Deshpande Guangyao Zhou Miguel Lazaro-Gredilla Dileep George 37 9 0 14 Feb 2023
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving Yinbo Yu Jiajia Liu 21 1 0 22 Nov 2022
Leveraging Fully Observable Policies for Learning under Partial Observability Hai V. Nguyen Andrea Baisero Dian Wang Chris Amato Robert W. Platt OffRL 30 19 0 03 Nov 2022
In-context Reinforcement Learning with Algorithm Distillation Michael Laskin Luyu Wang Junhyuk Oh Emilio Parisotto Stephen Spencer ... Ethan A. Brooks Maxime Gazeau Himanshu Sahni Satinder Singh Volodymyr Mnih OffRL 29 121 0 25 Oct 2022
Time-Varying Propensity Score to Bridge the Gap between the Past and Present Rasool Fakoor Jonas W. Mueller Zachary Chase Lipton Pratik Chaudhari Alexander J. Smola OOD AI4TS 32 3 0 04 Oct 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 38 6 0 07 Jun 2022
Learning in Observable POMDPs, without Computationally Intractable Oracles Noah Golowich Ankur Moitra Dhruv Rohatgi 32 26 0 07 Jun 2022
Deep Transformer Q-Networks for Partially Observable Reinforcement Learning Kevin Esslinger Robert W. Platt Chris Amato OffRL 32 35 0 02 Jun 2022
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning Sreejan Kumar Ishita Dasgupta Nathaniel D. Daw Jonathan D. Cohen Thomas L. Griffiths 32 10 0 04 Apr 2022
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 67 162 0 21 Jan 2021
Learning Guidance Rewards with Trajectory-space Smoothing Tanmay Gangwani Yuanshuo Zhou Jian Peng 26 33 0 23 Oct 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 365 11,700 0 09 Mar 2017