Unifying Count-Based Exploration and Intrinsic Motivation

6 June 2016

Papers citing "Unifying Count-Based Exploration and Intrinsic Motivation"

50 / 333 papers shown

Title
Online Safety Assurance for Deep Reinforcement Learning Noga H. Rotman Michael Schapira Aviv Tamar OffRL 38 5 0 07 Oct 2020
Latent World Models For Intrinsically Motivated Exploration Aleksandr Ermolov N. Sebe 25 25 0 05 Oct 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 30 43 0 28 Sep 2020
Explore and Explain: Self-supervised Navigation and Recounting Roberto Bigazzi Federico Landi Marcella Cornia S. Cascianelli Lorenzo Baraldi Rita Cucchiara EgoV LM&Ro 19 17 0 14 Jul 2020
Revisiting Fundamentals of Experience Replay W. Fedus Prajit Ramachandran Rishabh Agarwal Yoshua Bengio Hugo Larochelle Mark Rowland Will Dabney KELM OffRL 30 234 0 13 Jul 2020
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer E. Liu Ramtin Keramati Sudarshan Seshadri Kelvin Guu Panupong Pasupat Emma Brunskill Percy Liang OffRL 27 5 0 12 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 25 199 0 09 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate Mirco Mutti Lorenzo Pratissoli Marcello Restelli 11 19 0 09 Jul 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 33 9 0 26 Jun 2020
Information Theoretic Regret Bounds for Online Nonlinear Control Sham Kakade A. Krishnamurthy Kendall Lowrey Motoya Ohnishi Wen Sun 31 117 0 22 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 38 125 0 22 Jun 2020
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs Alekh Agarwal Sham Kakade A. Krishnamurthy Wen Sun OffRL 41 223 0 18 Jun 2020
Automatic Curriculum Learning through Value Disagreement Yunzhi Zhang Pieter Abbeel Lerrel Pinto 35 103 0 17 Jun 2020
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration Zhenghao Peng Hao Sun Bolei Zhou 18 18 0 14 Jun 2020
Gaussian Gated Linear Networks David Budden Adam H. Marblestone Eren Sezener Tor Lattimore Greg Wayne J. Veness BDL AI4CE 24 12 0 10 Jun 2020
Temporally-Extended ε-Greedy Exploration Will Dabney Georg Ostrovski André Barreto 22 33 0 02 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 65 225 0 01 Jun 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals Henry Charlesworth Giovanni Montana OffRL 29 24 0 01 Jun 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 29 1 0 21 May 2020
Novel Policy Seeking with Constrained Optimization Hao Sun Zhenghao Peng Bo Dai Jian Guo Dahua Lin Bolei Zhou 24 13 0 21 May 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 33 398 0 12 May 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 351 0 27 Apr 2020
Self-Paced Deep Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen ODL 38 54 0 24 Apr 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 29 510 0 30 Mar 2020
Adaptive Reward-Poisoning Attacks against Reinforcement Learning Xuezhou Zhang Yuzhe Ma Adish Singla Xiaojin Zhu AAML 29 124 0 27 Mar 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 22 125 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 19 168 0 10 Mar 2020
Scaling MAP-Elites to Deep Neuroevolution Cédric Colas Joost Huizinga Vashisht Madhavan Jeff Clune 33 86 0 03 Mar 2020
Reinforcement Learning through Active Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley AI4CE 26 69 0 28 Feb 2020
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration Guy Van den Broeck Yitao Liang Mathias Niepert OffRL 16 3 0 25 Feb 2020
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning Yuanyi Zhong A. Schwing Jian Peng DRL 15 5 0 21 Feb 2020
An Exploration of Embodied Visual Exploration Santhosh Kumar Ramakrishnan Dinesh Jayaraman Kristen Grauman LM&Ro 32 98 0 07 Jan 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 36 506 0 23 Dec 2019
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 135 135 0 09 Dec 2019
Scaling active inference Alexander Tschantz Manuel Baltieri A. Seth Christopher L. Buckley BDL AI4CE 19 68 0 24 Nov 2019
Implicit Generative Modeling for Efficient Exploration Neale Ratzlaff Qinxun Bai Fuxin Li Wenyuan Xu 22 12 0 19 Nov 2019
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning Dipendra Kumar Misra Mikael Henaff A. Krishnamurthy John Langford 26 151 0 13 Nov 2019
Multi-Path Policy Optimization L. Pan Qingpeng Cai Longbo Huang 18 2 0 11 Nov 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces Mikael Henaff OffRL 22 31 0 01 Nov 2019
Dealing with Sparse Rewards in Reinforcement Learning J. Hare 21 77 0 21 Oct 2019
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 24 137 0 12 Oct 2019
Receding Horizon Curiosity M. Schultheis Boris Belousov Hany Abdulsamad Jan Peters 25 15 0 08 Oct 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms Shih-Han Chou Wen-Yen Chang W. Hsu Jianlong Fu OffRL 15 181 0 03 Oct 2019
Emergent Tool Use From Multi-Agent Autocurricula Bowen Baker I. Kanitscheider Todor Markov Yi Wu Glenn Powell Bob McGrew Igor Mordatch LRM 37 646 0 17 Sep 2019
Interactive Fiction Games: A Colossal Adventure Matthew J. Hausknecht Prithviraj Ammanabrolu Marc-Alexandre Côté Xingdi Yuan LLMAG LM&Ro AI4CE 18 192 0 11 Sep 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 36 356 0 06 Jul 2019
Growing Action Spaces Gregory Farquhar Laura Gustafson Zeming Lin Shimon Whiteson Nicolas Usunier Gabriel Synnaeve 14 38 0 28 Jun 2019
Optimistic Proximal Policy Optimization Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 15 4 0 25 Jun 2019
Learning-Driven Exploration for Reinforcement Learning Muhammad Usama D. Chang 23 10 0 17 Jun 2019
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 44 151 0 12 Jun 2019