Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization

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Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization

30 November 2023

Daniel Jarne Ornia

Giannis Delimpaltadakis

Javier Alonso-Mora

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Papers citing "Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization"

14 / 14 papers shown

Title
The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning Shivam Agarwal Zimin Zhang Lifan Yuan Jiawei Han Hao Peng 123 7 0 21 May 2025
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks Maxime Chevalier-Boisvert Bolun Dai Mark Towers Rodrigo de Lazcano Lucas Willems Salem Lahlou Suman Pal Pablo Samuel Castro Jordan Terry VGen 95 212 0 24 Jun 2023
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration Dongyoung Kim Jinwoo Shin Pieter Abbeel Younggyo Seo 53 21 0 31 May 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL Seohong Park Sergey Levine 51 9 0 08 Feb 2023
Computing Complexity-aware Plans Using Kolmogorov Complexity Elis Stefansson Karl H. Johansson 72 4 0 21 Sep 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 56 45 0 07 Sep 2021
A Max-Min Entropy Framework for Reinforcement Learning Seungyul Han Y. Sung 61 23 0 19 Jun 2021
A Practical Guide to Multi-Objective Reinforcement Learning and Planning Conor F. Hayes Roxana Ruadulescu Eugenio Bargiacchi Johan Källström Matthew Macfarlane ... Ann Nowé Gabriel de Oliveira Ramos Marcello Restelli Peter Vamplew D. Roijers OffRL 75 338 0 17 Mar 2021
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning Xingyu Lu Kimin Lee Pieter Abbeel Stas Tiomkin DRL AI4CE 51 34 0 03 Aug 2020
On the Utility of Learning about Humans for Human-AI Coordination Micah Carroll Rohin Shah Mark K. Ho Thomas Griffiths Sanjit A. Seshia Pieter Abbeel Anca Dragan HAI 69 400 0 13 Oct 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 98 956 0 19 Jun 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning Rui Zhao Xudong Sun Volker Tresp 57 83 0 21 May 2019
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 517 19,237 0 20 Jul 2017
A unified view of entropy-regularized Markov decision processes Gergely Neu Anders Jonsson Vicencc Gómez 99 263 0 22 May 2017

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