Policy Information Capacity: Information-Theoretic Measure for Task
Complexity in Deep Reinforcement Learning

Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning

23 March 2021

Hiroki Furuta

Papers citing "Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning"

4 / 4 papers shown

Title
Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web Hiroki Furuta Yutaka Matsuo Aleksandra Faust Izzeddin Gur CLL 89 14 0 03 Jan 2025
Bayesian Generational Population-Based Training Xingchen Wan Cong Lu Jack Parker-Holder Philip J. Ball Vu-Linh Nguyen Binxin Ru Michael A. Osborne OffRL 31 15 0 19 Jul 2022
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments Ryan Sullivan J. K. Terry Benjamin Black John P. Dickerson 17 8 0 14 May 2022
Dimensionality Reduction and Prioritized Exploration for Policy Search Marius Memmel Puze Liu Davide Tateo Jan Peters 15 3 0 09 Mar 2022