Towards continual reinforcement learning: A review and perspectives

K Khetarpal, M Riemer, I Rish, D Precup - Journal of Artificial Intelligence …, 2022 - jair.org
In this article, we aim to provide a literature review of different formulations and approaches
to continual reinforcement learning (RL), also known as lifelong or non-stationary RL. We …

The free energy principle for perception and action: A deep learning perspective

P Mazzaglia, T Verbelen, O Catal, B Dhoedt - Entropy, 2022 - mdpi.com
The free energy principle, and its corollary active inference, constitute a bio-inspired theory
that assumes biological agents act to remain in a restricted set of preferred states of the …

Reasoning with language model is planning with world model

S Hao, Y Gu, H Ma, JJ Hong, Z Wang, DZ Wang… - ar** for uncertainty-driven offline reinforcement learning
C Bai, L Wang, Z Yang, Z Deng, A Garg, P Liu… - arxiv preprint arxiv …, 2022 - arxiv.org
Offline Reinforcement Learning (RL) aims to learn policies from previously collected
datasets without exploring the environment. Directly applying off-policy algorithms to offline …