Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning

7 August 2017

Papers citing "Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning"

33 / 33 papers shown

Title
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges Miguel Arana-Catania Weisi Guo CML 30 0 0 13 May 2025
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models Kanghyun Ryu Qiayuan Liao Zhongyu Li K. Sreenath Negar Mehr Negar Mehr LM&Ro 180 3 0 27 Sep 2024
Synthesizing Evolving Symbolic Representations for Autonomous Systems Gabriele Sartor A. Oddi R. Rasconi V. Santucci Rosa Meo 21 0 0 18 Sep 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 33 3 0 18 Jul 2024
Wind Estimation in Unmanned Aerial Vehicles with Causal Machine Learning Abdulaziz Alwalan Miguel Arana-Catania 24 0 0 01 Jul 2024
Biomaker CA: a Biome Maker project using Cellular Automata E. Randazzo A. Mordvintsev VGen 33 5 0 18 Jul 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 30 3 0 20 Apr 2023
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation Shuo Cheng Danfei Xu 54 37 0 23 Oct 2022
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 29 39 0 11 Oct 2022
Automatic Acquisition of a Repertoire of Diverse Grasping Trajectories through Behavior Shaping and Novelty Search Aurélien Morel Yakumo Kunimoto Alexandre Coninx Stéphane Doncieux 31 13 0 17 May 2022
Autonomous Open-Ended Learning of Tasks with Non-Stationary Interdependencies A. Romero Gianluca Baldassarre Richard J. Duro V. Santucci 18 0 0 16 May 2022
Goal-Guided Neural Cellular Automata: Learning to Control Self-Organising Systems Shyam Sudhakaran Elias Najarro S. Risi 36 6 0 25 Apr 2022
Mind the gap: Challenges of deep learning approaches to Theory of Mind Jaan Aru Aqeel Labash Oriol Corcoll Raul Vicente 28 26 0 30 Mar 2022
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 37 7 0 16 Feb 2022
Wasserstein Distance Maximizing Intrinsic Control Ishan Durugkar Steven Hansen Stephen Spencer Volodymyr Mnih 18 6 0 28 Oct 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment Tung M. Luu Chang D. Yoo 15 8 0 28 Oct 2021
Few-shot Quality-Diversity Optimization Achkan Salehi Alexandre Coninx Stéphane Doncieux 19 14 0 14 Sep 2021
Self-supervised Reinforcement Learning with Independently Controllable Subgoals Andrii Zadaianchuk Georg Martius Fanny Yang SSL 64 16 0 09 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning Susan Amin Maziar Gomrokchi Harsh Satija H. V. Hoof Doina Precup OffRL 21 80 0 01 Sep 2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 48 6 0 26 Jun 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 27 21 0 17 Mar 2021
Training a First-Order Theorem Prover from Synthetic Data Vlad Firoiu Eser Aygun Ankit Anand Zafarali Ahmed Xavier Glorot Laurent Orseau Lei Zhang Doina Precup Shibl Mourad NAI 21 13 0 05 Mar 2021
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments Timothée Anne Jack Wilkinson Zhibin Li 26 1 0 19 Jan 2021
BeBold: Exploration Beyond the Boundary of Explored Regions Tianjun Zhang Huazhe Xu Xiaolong Wang Yi Wu Kurt Keutzer Joseph E. Gonzalez Yuandong Tian 36 40 0 15 Dec 2020
Meta Automatic Curriculum Learning Rémy Portelas Clément Romac Katja Hofmann Pierre-Yves Oudeyer 35 8 0 16 Nov 2020
Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network Takazumi Matsumoto Jun Tani DRL 16 28 0 27 May 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions Rui Wang Joel Lehman Aditya Rawal Jiale Zhi Yulun Li Jeff Clune Kenneth O. Stanley 19 125 0 19 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 19 167 0 10 Mar 2020
Scaling MAP-Elites to Deep Neuroevolution Cédric Colas Joost Huizinga Vashisht Madhavan Jeff Clune 33 86 0 03 Mar 2020
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration Guy Van den Broeck Yitao Liang Mathias Niepert OffRL 12 3 0 25 Feb 2020
Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces G. Schillaci Antonio Pico Villalpando Verena V. Hafner P. Hanappe David Colliaux T. Wintz 20 27 0 07 Jan 2020
Unsupervised Learning and Exploration of Reachable Outcome Space Giuseppe Paolo Alban Laflaquière Alexandre Coninx Stéphane Doncieux 21 36 0 12 Sep 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments Pierre Fournier Olivier Sigaud Cédric Colas Mohamed Chetouani OffRL 35 26 0 28 Jan 2019