Gymnasium is an open-source library providing an API for reinforcement learning
environments. Its main contribution is a central abstraction for wide interoperability between …

Benchmarks play a crucial role in the development and analysis of reinforcement learning
(RL) algorithms. We identify that existing benchmarks used for research into open-ended …

BlackJAX is a library implementing sampling and variational inference algorithms commonly
used in Bayesian computation. It is designed for ease of use, speed, and modularity by …

As Deep Reinforcement Learning (Deep RL) research moves towards solving large-scale
worlds, efficient environment simulations become crucial for rapid experimentation …

Empirical, benchmark-driven testing is a fundamental paradigm in the current RL
community. While using off-the-shelf benchmarks in reinforcement learning (RL) research is …

Reinforcement learning (RL) has seen significant success across various domains, but its
adoption is often limited by the black-box nature of neural network policies, making them …

The 3D bin packing problem is an NP-hard optimisation problem. RL solutions found in the
literature tackle simplified versions of the full problem due to its large action space and long …