Geometric Entropic Exploration

6 January 2021

Bilal Piot

Papers citing "Geometric Entropic Exploration"

25 / 25 papers shown

Title
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Vincenzo De Paola Riccardo Zamboni Mirco Mutti Marcello Restelli 19 0 0 02 May 2025
The Limits of Pure Exploration in POMDPs: When the Observation Entropy is Enough Riccardo Zamboni Duilio Cirino Marcello Restelli Mirco Mutti 39 4 0 18 Jun 2024
How to Explore with Belief: State Entropy Maximization in POMDPs Riccardo Zamboni Duilio Cirino Marcello Restelli Mirco Mutti 31 3 0 04 Jun 2024
Behind the Myth of Exploration in Policy Gradients Adrien Bolland Gaspard Lambrechts Damien Ernst 51 0 0 31 Jan 2024
Maximum State Entropy Exploration using Predecessor and Successor Representations A. Jain Lucas Lehnert Irina Rish Glen Berseth 34 13 0 26 Jun 2023
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration Dongyoung Kim Jinwoo Shin Pieter Abbeel Younggyo Seo 16 19 0 31 May 2023
Policy Gradient Algorithms Implicitly Optimize by Continuation Adrien Bolland Gilles Louppe D. Ernst 31 3 0 11 May 2023
Unlocking the Power of Representations in Long-term Novelty-based Exploration Alaa Saade Steven Kapturowski Daniele Calandriello Charles Blundell Pablo Sprechmann Leopoldo Sarra Oliver Groth Michal Valko Bilal Piot OffRL 26 6 0 02 May 2023
Influence of the Geometry of the world model on Curiosity Based Exploration G. Sergeant-Perthuis Nils Ruet D. Rudrauf D. Ognibene Y. Tisserand 36 2 0 01 Apr 2023
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 40 5 0 18 Nov 2022
Quality-diversity in dissimilarity spaces Steve Huntsman 22 1 0 14 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 26 23 0 08 Nov 2022
On the importance of data collection for training general goal-reaching policies Alexis Jacq Manu Orsini Gabriel Dulac-Arnold Olivier Pietquin M. Geist Olivier Bachem OffRL 30 1 0 07 Nov 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 29 35 0 19 Sep 2022
Time to augment self-supervised visual representation learning A. Aubret M. Ernst Céline Teulière Jochen Triesch 26 10 0 27 Jul 2022
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 22 68 0 16 Jun 2022
k-Means Maximum Entropy Exploration Alexander Nedergaard Matthew Cook 17 12 0 31 May 2022
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning Frederik Schubert C. Benjamins Sebastian Dohler Bodo Rosenhahn Marius Lindauer SSL OffRL 54 4 0 23 May 2022
The Importance of Non-Markovianity in Maximum State Entropy Exploration Mirco Mutti Ric De Santi Marcello Restelli 27 31 0 07 Feb 2022
Challenging Common Assumptions in Convex Reinforcement Learning Mirco Mutti Ric De Santi Piersilvio De Bartolomeis Marcello Restelli OffRL 24 21 0 03 Feb 2022
Unsupervised Reinforcement Learning in Multiple Environments Mirco Mutti Mattia Mancassola Marcello Restelli OffRL 22 25 0 16 Dec 2021
More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences Toby Johnstone Nathan Grinsztajn Johan Ferret Philippe Preux 18 0 0 20 Oct 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills A. Aubret L. Matignon S. Hassas 4 8 0 06 Jun 2021
Action Redundancy in Reinforcement Learning Nir Baram Guy Tennenholtz Shie Mannor 11 7 0 22 Feb 2021
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 109 194 0 07 Feb 2020