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2001.01102
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MushroomRL: Simplifying Reinforcement Learning Research
Journal of machine learning research (JMLR), 2020
4 January 2020
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
OffRL
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Papers citing
"MushroomRL: Simplifying Reinforcement Learning Research"
50 / 52 papers shown
Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning
Aleksandar Todorov
Juan Cardenas-Cartagena
Rafael F. Cunha
Marco Zullich
Matthia Sabatelli
CLL
218
1
0
09 Aug 2025
Ensemble Elastic DQN: A novel multi-step ensemble approach to address overestimation in deep value-based reinforcement learning
Adrian Ly
Richard Dazeley
Peter Vamplew
F. Cruz
Sunil Aryal
234
1
0
06 Jun 2025
Dynamic Obstacle Avoidance with Bounded Rationality Adversarial Reinforcement Learning
Jose-Luis Holgado-Alvarez
Aryaman Reddi
Carlo DÉramo
255
0
0
14 Mar 2025
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
Conference on Robot Learning (CoRL), 2024
Jonas Günster
Puze Liu
Jan Peters
Davide Tateo
OffRL
346
3
0
18 Sep 2024
Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Shreyas S R
OffRL
OnRL
283
0
0
10 Sep 2024
BaSeNet: A Learning-based Mobile Manipulator Base Pose Sequence Planning for Pickup Tasks
Lakshadeep Naik
Sinan Kalkan
S. Sørensen
Mikkel B. Kjærgaard
Norbert Kruger
249
9
0
12 Jun 2024
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review
Sergio A. Serrano
J. Martínez-Carranza
L. Sucar
299
9
0
26 Apr 2024
On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning
Giuseppe Canonaco
Leo Ardon
Alberto Pozanco
Daniel Borrajo
OffRL
351
2
0
11 Apr 2024
Utilizing Maximum Mean Discrepancy Barycenter for Propagating the Uncertainty of Value Functions in Reinforcement Learning
Srinjoy Roy
Swagatam Das
358
0
0
31 Mar 2024
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
Shengyi Huang
Quentin Gallouedec
Florian Felten
Antonin Raffin
Rousslan Fernand Julien Dossa
...
Alexander Nikulin
Xiao Hu
Tianlin Liu
Jongwook Choi
Brent Yi
OffRL
314
23
0
05 Feb 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
International Conference on Learning Representations (ICLR), 2020
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
418
147
0
17 Jan 2024
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Wenzhang Liu
Wenzhe Cai
Kun Jiang
Guangran Cheng
Yuanda Wang
Changyin Sun
Jingyu Cao
Lele Xu
Chaoxu Mu
Changyin Sun
377
13
0
25 Dec 2023
Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing
Hany Abdulsamad
Sahel Iqbal
Adrien Corenflos
Simo Särkkä
342
2
0
21 Dec 2023
RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications
Daniel Rosen
Illa Rochez
Caleb McIrvin
Joshua Lee
Kevin DÁlessandro
...
Zavion Harris-Smart
Zayden Chin
Amos Johnson
Alyse M. Jones
William C. Headley
249
7
0
20 Dec 2023
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning
Sergio A. Serrano
J. Martínez-Carranza
L. Sucar
330
2
0
05 Dec 2023
Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Ahmed Hendawy
Jan Peters
Carlo DÉramo
MoE
322
45
0
19 Nov 2023
EduGym: An Environment and Notebook Suite for Reinforcement Learning Education
Thomas M. Moerland
Matthias Muller-Brockhausen
Zhao Yang
Andrius Bernatavicius
Koen Ponse
Tom Kouwenhoven
Andreas Sauter
Michiel van der Meer
Bram M. Renting
Aske Plaat
OffRL
427
2
0
17 Nov 2023
LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion
Firas Al-Hafez
Guoping Zhao
Jan Peters
Davide Tateo
273
43
0
04 Nov 2023
Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula
International Conference on Learning Representations (ICLR), 2023
Aryaman Reddi
Maximilian Tölle
Jan Peters
Georgia Chalvatzaki
Carlo DÉramo
232
11
0
03 Nov 2023
RLLTE: Long-Term Evolution Project of Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Tao Lv
Zequn Zhang
Yang Xu
Shihao Luo
Bo Li
Xin Jin
Wenjun Zeng
OffRL
261
4
0
28 Sep 2023
AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents
Timothée Mathieu
R. D. Vecchia
Alena Shilova
M. Centa
Hector Kohler
Odalric-Ambrym Maillard
Philippe Preux
211
2
0
19 Jun 2023
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
Jonas Eschmann
Dario Albani
Giuseppe Loianno
OffRL
478
8
0
06 Jun 2023
TorchRL: A data-driven decision-making library for PyTorch
International Conference on Learning Representations (ICLR), 2023
Albert Bou
Matteo Bettini
Sebastian Dittert
Vikash Kumar
Shagun Sodhani
Xiaomeng Yang
Gianni De Fabritiis
Vincent Moens
OffRL
AI4CE
406
76
0
01 Jun 2023
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
Neural Information Processing Systems (NeurIPS), 2023
Hanna Ziesche
Leonel Rozo
238
10
0
17 May 2023
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Firas Al-Hafez
Davide Tateo
Oleg Arenz
Guoping Zhao
Jan Peters
247
32
0
01 Mar 2023
Boosting Object Representation Learning via Motion and Object Continuity
Quentin Delfosse
Wolfgang Stammer
Thomas Rothenbacher
Dwarak Vittal
Kristian Kersting
OCL
486
21
0
16 Nov 2022
Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks
Neurocomputing (Neurocomputing), 2022
Adrian Ly
Richard Dazeley
Peter Vamplew
Francisco Cruz
Sunil Aryal
328
30
0
07 Oct 2022
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction
IEEE International Conference on Robotics and Automation (ICRA), 2022
Puze Liu
Kuo Zhang
Davide Tateo
Snehal Jauhri
Zhiyuan Hu
Jan Peters
Georgia Chalvatzaki
265
23
0
27 Sep 2022
ARLO: A Framework for Automated Reinforcement Learning
Expert systems with applications (ESWA), 2022
Marco Mussi
Davide Lombarda
Alberto Maria Metelli
F. Trovò
Marcello Restelli
OffRL
247
8
0
20 May 2022
A2C is a special case of PPO
Shengyi Huang
Anssi Kanervisto
Antonin Raffin
Weixun Wang
Santiago Ontañón
Rousslan Fernand Julien Dossa
OffRL
347
42
0
18 May 2022
Dimensionality Reduction and Prioritized Exploration for Policy Search
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Marius Memmel
Puze Liu
Davide Tateo
Jan Peters
335
4
0
09 Mar 2022
Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Niklas Funk
Svenja Menzenbach
Georgia Chalvatzaki
Jan Peters
278
14
0
08 Mar 2022
Robot Learning of Mobile Manipulation with Reachability Behavior Priors
IEEE Robotics and Automation Letters (RA-L), 2022
Snehal Jauhri
Jan Peters
Georgia Chalvatzaki
435
65
0
08 Mar 2022
skrl: Modular and Flexible Library for Reinforcement Learning
Journal of machine learning research (JMLR), 2022
Antonio Serrano-Muñoz
D. Chrysostomou
Simon Boegh
N. Arana-Arexolaleiba
388
71
0
08 Feb 2022
CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms
Shengyi Huang
Rousslan Fernand Julien Dossa
Chang Ye
Jeff Braga
OffRL
107
0
0
16 Nov 2021
d3rlpy: An Offline Deep Reinforcement Learning Library
Takuma Seno
M. Imai
OffRL
GP
353
135
0
06 Nov 2021
Continuous-Time Fitted Value Iteration for Robust Policies
M. Lutter
Boris Belousov
Shie Mannor
Dieter Fox
Animesh Garg
Jan Peters
253
10
0
05 Oct 2021
Tianshou: a Highly Modularized Deep Reinforcement Learning Library
Journal of machine learning research (JMLR), 2021
Jiayi Weng
Huayu Chen
Dong Yan
Kaichao You
Alexis Duburcq
Minghao Zhang
Yi Su
Hang Su
Jun Zhu
NoLa
OffRL
465
253
0
29 Jul 2021
Robust Value Iteration for Continuous Control Tasks
M. Lutter
Shie Mannor
Jan Peters
Dieter Fox
Animesh Garg
196
19
0
25 May 2021
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning
Julen Urain
Anqi Li
Puze Liu
Carlo DÉramo
Jan Peters
244
32
0
11 May 2021
Value Iteration in Continuous Actions, States and Time
International Conference on Machine Learning (ICML), 2021
M. Lutter
Shie Mannor
Jan Peters
Dieter Fox
Animesh Garg
160
40
0
10 May 2021
The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning
Edward W. Staley
Corban G. Rivera
Ashley J. Llorens
AI4CE
134
1
0
09 Mar 2021
Sim-Env: Decoupling OpenAI Gym Environments from Simulation Models
Practical Applications of Agents and Multi-Agent Systems (PAAMS), 2021
Andreas Schuderer
Stefano Bromuri
M. V. Eekelen
AI4CE
194
3
0
19 Feb 2021
Adaptive Rational Activations to Boost Deep Reinforcement Learning
International Conference on Learning Representations (ICLR), 2021
Quentin Delfosse
P. Schramowski
Martin Mundt
Alejandro Molina
Kristian Kersting
549
24
0
18 Feb 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
Artificial Intelligence Review (AIR), 2021
S. Latif
Heriberto Cuayáhuitl
Farrukh Pervez
Fahad Shamshad
Hafiz Shehbaz Ali
Xiaoshi Zhong
OffRL
447
95
0
01 Jan 2021
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking
Fabio Pardo
OffRL
260
34
0
15 Nov 2020
Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Samuele Tosatto
João Carvalho
Jan Peters
OffRL
301
8
0
27 Oct 2020
Efficient Reinforcement Learning Development with RLzoo
ACM Multimedia (ACM MM), 2020
Zihan Ding
Tianyang Yu
Yanhua Huang
Hongming Zhang
Guo Li
Quancheng Guo
Kai Zou
Hao Dong
OffRL
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247
6
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18 Sep 2020
Integrating Distributed Architectures in Highly Modular RL Libraries
Albert Bou
Sebastian Dittert
Gianni De Fabritiis
369
0
0
06 Jul 2020
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees
Kishan Panaganti
D. Kalathil
455
4
0
20 Jun 2020
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