Braxlines: Fast and Interactive Toolkit for RL-driven Behavior
Engineering beyond Reward Maximization

Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization

10 October 2021

Hiroki Furuta

Seyed Kamyar Seyed Ghasemipour

Olivier Bachem

Papers citing "Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization"

6 / 6 papers shown

Title
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 32 7 0 16 Feb 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,774 0 24 Feb 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour Dale Schuurmans S. Gu OffRL 209 119 0 21 Jul 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 227 2,543 0 25 Jan 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,923 0 17 Aug 2015