Risk-Aware Transfer in Reinforcement Learning using Successor Features

Neural Information Processing Systems (NeurIPS), 2021

28 May 2021

Papers citing "Risk-Aware Transfer in Reinforcement Learning using Successor Features"

11 / 11 papers shown

Ergodic Risk Measures: Towards a Risk-Aware Foundation for Continual Reinforcement Learning

Juan Sebastian Rojas

Chi-Guhn Lee

150

03 Oct 2025

Successor Features for Transfer in Alternating Markov Games

137

29 Jul 2025

Constructing an Optimal Behavior Basis for the Option Keyboard

244

01 May 2025

Foundations of Multivariate Distributional Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024

295

31 Aug 2024

CAT: Caution Aware Transfer in Reinforcement Learning via Distributional Risk

Mohamad Fares El Hajj Chehade

247

16 Aug 2024

A Distributional Analogue to the Successor Representation

Harley Wiltzer

Jesse Farebrother

Arthur Gretton

Mark Rowland

342

13 Feb 2024

Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning

Parvin Malekzadeh

Ming Hou

Konstantinos N. Plataniotis

292

16 Oct 2023

Reinforcement Learning by Guided Safe ExplorationEuropean Conference on Artificial Intelligence (ECAI), 2023

176

26 Jul 2023

Safety-Constrained Policy Transfer with Successor FeaturesIEEE International Conference on Robotics and Automation (ICRA), 2022

194

10 Nov 2022

Deep Hedging: Continuous Reinforcement Learning for Hedging of General Portfolios across Multiple Risk AversionsInternational Conference on AI in Finance (ICAF), 2022

154

15 Jul 2022

Optimistic Linear Support and Successor Features as a Basis for Optimal Policy TransferInternational Conference on Machine Learning (ICML), 2022

L. N. Alegre

A. Bazzan

Bruno C. da Silva

145

22 Jun 2022