JOSS Papers: Reinforcement Learning

All Papers
4090
 Published Papers
3712
 Active Papers
378
published Published 12 days ago

PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing

Python
@JianhanZhang
10.21105/joss.09689
published Published about 2 months ago

Mighty: A Comprehensive Tool for Studying Generalization, Meta-RL and AutoRL

Python
@amsks
10.21105/joss.10439
published Published 2 months ago

PyTupli: Enabling Collaboration in Offline Reinforcement Learning

Python
@hmcm
10.21105/joss.10144
published Published 3 months ago

BordAX: A High-Performance JAX Framework for Programmatic Reinforcement Learning

Python
@kameronton
10.21105/joss.10470
published Published 5 months ago

WindGym: A Reinforcement Learning Environment for Wind Farm Control

Python
@MarcusBinder
10.21105/joss.09946
published Published 6 months ago

Crux.jl: Deep Reinforcement Learning in Julia

Julia
@mossr
10.21105/joss.09620
published Published 6 months ago

HierarchyCraft: A Benchmark Builder for Hierarchical Reasoning

PowerShell Nix Python
@MathisFederico
10.21105/joss.06468
published Published 10 months ago

AMaze: a benchmark generator for sighted maze-navigating agents

Python
@kgd-al
10.21105/joss.07208
published Published 11 months ago

MDPax: GPU-accelerated MDP solvers in Python with JAX

Python
@joefarrington
10.21105/joss.08897
published Published 11 months ago

Adaptive Resonance Lib: A Python package for Adaptive Resonance Theory (ART) models

Python C++
@NiklasMelton
10.21105/joss.07764
Displaying papers 1 - 10 of 27 in total

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ISSN 2475-9066