ChainerRL swMATH ID: 31150 Software Authors: Yasuhiro Fujita, Toshiki Kataoka, Prabhat Nagarajan, Takahiro Ishikawa Description: ChainerRL: A Deep Reinforcement Learning Library. In this paper, we introduce ChainerRL, an open-source Deep Reinforcement Learning (DRL) library built using Python and the Chainer deep learning framework. ChainerRL implements a comprehensive set of DRL algorithms and techniques drawn from the state-of-the-art research in the field. To foster reproducible research, and for instructional purposes, ChainerRL provides scripts that closely replicate the original papers’ experimental settings and reproduce published benchmark results for several algorithms. Lastly, ChainerRL offers a visualization tool that enables the qualitative inspection of trained agents. The ChainerRL source code can be found on GitHub: https://github.com/chainer/chainerrl Homepage: https://arxiv.org/abs/1912.03905 Source Code: https://github.com/chainer/chainerrl Keywords: Machine Learning; arXiv_cs.LG; Artificial Intelligence; arXiv_cs.AI; arXiv_stat.ML; Deep Reinforcement Learning; DRL; Python Related Software: rlpyt; Dopamine; Stable Baselines; Catalyst.RL; PyTorch; RLlib; OpenAI Gym; Python; GitHub; d3rlpy; Pybullet; Scikit; Tonic; MuJoCo; Pwnagotchi; Imitation; SLM Lab; TF-Agents; WaveRL; Stable Baselines3 Cited in: 2 Publications Standard Articles 2 Publications describing the Software, including 1 Publication in zbMATH Year ChainerRL: a deep reinforcement learning library. Zbl 07370594Fujita, Yasuhiro; Nagarajan, Prabhat; Kataoka, Toshiki; Ishikawa, Takahiro 2021 ChainerRL: A Deep Reinforcement Learning Library Yasuhiro Fujita, Toshiki Kataoka, Prabhat Nagarajan, Takahiro Ishikawa 2019 all top 5 Cited by 10 Authors 1 Dormann, Noah 1 Ernestus, Maximilian 1 Fujita, Yasuhiro 1 Gleave, Adam 1 Hill, Ashley 1 Ishikawa, Takahiro 1 Kanervisto, Anssi 1 Kataoka, Toshiki 1 Nagarajan, Prabhat 1 Raffin, Antonin Cited in 1 Serial 2 Journal of Machine Learning Research (JMLR) Cited in 1 Field 2 Computer science (68-XX) Citations by Year