POPGym: Benchmarking Partially Observable Reinforcement Learning

3 March 2023

Amanda Prorok

Papers citing "POPGym: Benchmarking Partially Observable Reinforcement Learning"

30 / 30 papers shown

Title
Free Random Projection for In-Context Reinforcement Learning Tomohiro Hayase B. Collins Nakamasa Inoue 26 0 0 09 Apr 2025
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 78 1 0 20 Feb 2025
Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning Egor Cherepanov Nikita Kachaev A. Kovalev Aleksandr I. Panov OffRL 41 0 0 14 Feb 2025
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks Kevin McKee OffRL 72 3 0 17 Dec 2024
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers Jake Grigsby Justin Sasek Samyak Parajuli Daniel Adebi Amy Zhang Yuke Zhu OffRL 26 3 0 17 Nov 2024
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning Hung Le Kien Do D. Nguyen Sunil Gupta Svetha Venkatesh 35 0 0 14 Oct 2024
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning Esraa Elelimy Adam White Michael Bowling Martha White OffRL 38 2 0 02 Sep 2024
NAVIX: Scaling MiniGrid Environments with JAX Eduardo Pignatelli Jarek Liesen R. T. Lange Chris Xiaoxuan Lu Pablo Samuel Castro Laura Toni 37 3 0 28 Jul 2024
Reinforcement Learning for Sustainable Energy: A Survey Koen Ponse Felix Kleuker Márton Fejér Álvaro Serra-Gómez Aske Plaat Thomas M. Moerland OffRL AI4CE 40 1 0 26 Jul 2024
Rethinking Transformers in Solving POMDPs Chenhao Lu Ruizhe Shi Yuyao Liu Kaizhe Hu Simon S. Du Huazhe Xu AI4CE 32 3 0 27 May 2024
Benchmarking General-Purpose In-Context Learning Fan Wang Chuan Lin Yang Cao Yu Kang 32 1 0 27 May 2024
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate Fan Luo Zuolin Tu Zefang Huang Yang Yu OffRL 36 0 0 24 May 2024
Mastering Memory Tasks with World Models Mohammad Reza Samsami Artem Zholus Janarthanan Rajendran Sarath Chandar CLL OffRL 29 22 0 07 Mar 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 22 20 0 17 Jan 2024
Parameterized Decision-making with Multi-modal Perception for Autonomous Driving Yuyang Xia Shuncheng Liu Quanlin Yu Liwei Deng You Zhang Han Su Kai Zheng 27 49 0 19 Dec 2023
JaxMARL: Multi-Agent RL Environments in JAX Alex Rutherford Benjamin Ellis Matteo Gallici Jonathan Cook Andrei Lupu ... Bruno Lacerda Nick Hawes Tim Rocktaschel Chris Xiaoxuan Lu Jakob N. Foerster 28 20 0 16 Nov 2023
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 27 58 0 26 Oct 2023
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents Jake Grigsby Linxi Fan Yuke Zhu OffRL LM&Ro 38 10 0 15 Oct 2023
Reinforcement Learning with Fast and Forgetful Memory Steven D. Morad Ryan Kortvelesy Stephan Liwicki Amanda Prorok OffRL 19 4 0 06 Oct 2023
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents Marco Pleines Matthias Pallasch Frank Zimmer Mike Preuss OffRL 29 0 0 29 Sep 2023
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning Kaiwen Wang Junxiong Wang Yueying Li Nathan Kallus Immanuel Trummer Wen Sun GP 50 2 0 21 Jul 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 26 34 0 07 Jul 2023
Informed POMDP: Leveraging Additional Information in Model-Based RL Gaspard Lambrechts Adrien Bolland D. Ernst 23 7 0 20 Jun 2023
ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry Chris Beeler Sriram Ganapathi Subramanian Kyle Sprague Nouha Chatti C. Bellinger ... Amanuel Dawit Zihan Yang Xinkai Li Mark Crowley Isaac Tamblyn OffRL 13 6 0 23 May 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 82 0 07 Mar 2023
The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models Raphael Avalos Florent Delgrange Ann Nowé Guillermo A. Pérez D. Roijers 36 2 0 06 Mar 2023
Reinforcement Learning in Non-Markovian Environments Siddharth Chandak Pratik Shah Vivek Borkar Parth Dodhia OOD 20 7 0 03 Nov 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 275 109 0 13 Jul 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020