Imitation Learning with Concurrent Actions in 3D Games

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Imitation Learning with Concurrent Actions in 3D Games

14 March 2018

Joakim Bergdahl

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Papers citing "Imitation Learning with Concurrent Actions in 3D Games"

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Title
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors Niels Justesen Maria Kaselimi Sam Snodgrass Miruna Vozaru Matthew Schlegel ... Albert Wang Christoffer Holmgård Georgios N. Yannakakis S. Risi Julian Togelius 191 0 0 03 Jan 2025
Efficient Active Imitation Learning with Random Network Distillation Emilien Biré Anthony Kobanda Ludovic Denoyer Rémy Portelas 81 3 0 04 Nov 2024
Hierarchical Imitation and Reinforcement Learning Hoang Minh Le Nan Jiang Alekh Agarwal Miroslav Dudík Yisong Yue Hal Daumé 68 193 0 01 Mar 2018
Learning High-level Representations from Demonstrations Garrett Andersen Peter Vrancx Haitham Bou-Ammar 37 3 0 19 Feb 2018
Reinforcement Learning from Imperfect Demonstrations Yang Gao Huazhe Xu Ji Lin Feng Yu Sergey Levine Trevor Darrell 76 202 0 14 Feb 2018
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations Xiaoqin Zhang Huimin Ma OffRL 84 38 0 31 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,432 0 04 Jan 2018
Overcoming Exploration in Reinforcement Learning with Demonstrations Ashvin Nair Bob McGrew Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel OffRL 102 789 0 28 Sep 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 103 1,506 0 21 Jul 2017
Noisy Networks for Exploration Meire Fortunato M. G. Azar Bilal Piot Jacob Menick Ian Osband ... Rémi Munos Demis Hassabis Olivier Pietquin Charles Blundell Shane Legg 97 897 0 30 Jun 2017
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning Sahil Sharma A. Suresh Rahul Ramesh Balaraman Ravindran OffRL 56 36 0 20 May 2017
Deep Q-learning from Demonstrations Todd Hester Matej Vecerík Olivier Pietquin Marc Lanctot Tom Schaul ... Gabriel Dulac-Arnold Ian Osband J. Agapiou Joel Z Leibo A. Gruslys OffRL 81 156 0 12 Apr 2017
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 210 8,882 0 04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 93 3,771 0 20 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 233 3,796 0 18 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 179 7,678 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 332 13,295 0 09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 135 3,442 0 08 Jun 2015
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 263 3,238 0 02 Nov 2010