Investigating Human Priors for Playing Video Games

28 February 2018

Papers citing "Investigating Human Priors for Playing Video Games"

24 / 24 papers shown

Title
World Models with Hints of Large Language Models for Goal Achieving Zeyuan Liu Ziyu Huan Xiyao Wang Jiafei Lyu Jian Tao Xiu Li Furong Huang Huazhe Xu LM&Ro LRM AI4CE 34 1 0 11 Jun 2024
Strategy Extraction in Single-Agent Games Archana Vadakattu Michelle L. Blom A. Pearce 8 1 0 22 May 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models Yuqing Du Olivia Watkins Zihan Wang Cédric Colas Trevor Darrell Pieter Abbeel Abhishek Gupta Jacob Andreas LM&Ro 21 171 0 13 Feb 2023
ActMAD: Activation Matching to Align Distributions for Test-Time-Training M. Jehanzeb Mirza Pol Jané Soneira W. Lin Mateusz Koziñski Horst Possegger Horst Bischof VLM TTA 31 24 0 23 Nov 2022
Knowledge-Guided Exploration in Deep Reinforcement Learning Sahisnu Mazumder Bing-Quan Liu Shuai Wang Yingxuan Zhu Xiaotian Yin Lifeng Liu Jian Li 38 4 0 26 Oct 2022
Reachability-Aware Laplacian Representation in Reinforcement Learning Kaixin Wang Kuangqi Zhou Jiashi Feng Bryan Hooi Xinchao Wang 26 2 0 24 Oct 2022
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning Yifan Xu Nicklas Hansen Zirui Wang Yung-Chieh Chan H. Su Z. Tu OffRL 23 15 0 19 Oct 2022
Is an Object-Centric Video Representation Beneficial for Transfer? Chuhan Zhang Ankush Gupta Andrew Zisserman ViT 31 26 0 20 Jul 2022
Affordance Extraction with an External Knowledge Database for Text-Based Simulated Environments P. Gelhausen M. Fischer G. Peters 17 1 0 01 Jul 2022
The world seems different in a social context: a neural network analysis of human experimental data Maria Tsfasman A. Philippsen Carlo Mazzola Serge Thill A. Sciutti Y. Nagai 11 1 0 03 Mar 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? Alain Andres Esther Villar-Rodriguez Javier Del Ser 12 9 0 24 Feb 2022
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 27 28 0 10 Feb 2022
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration Simone Parisi Victoria Dean Deepak Pathak Abhinav Gupta LM&Ro 25 50 0 25 Nov 2021
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks Luca Marzari Ameya Pore Diego DallÁlba G. Aragon-Camarasa Alessandro Farinelli Paolo Fiorini 24 28 0 08 Feb 2021
Guaranteeing Reproducibility in Deep Learning Competitions Brandon Houghton Stephanie Milani Nicholay Topin William H. Guss Katja Hofmann Diego Perez-Liebana Manuela Veloso Ruslan Salakhutdinov OOD 11 8 0 12 May 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement Benjamin Eysenbach Xinyang Geng Sergey Levine Ruslan Salakhutdinov OffRL 8 86 0 25 Feb 2020
Learning from Trajectories via Subgoal Discovery S. Paul J. Baar A. Roy-Chowdhury 79 47 0 03 Nov 2019
Dealing with Sparse Rewards in Reinforcement Learning J. Hare 8 77 0 21 Oct 2019
On Inductive Biases in Deep Reinforcement Learning Matteo Hessel H. V. Hasselt Joseph Modayil David Silver AI4CE 19 41 0 05 Jul 2019
Generalization to Novel Objects using Prior Relational Knowledge V. Vijay Abhinav Ganesh Hanlin Tang Arjun K. Bansal GNN 11 6 0 26 Jun 2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions Tim Pearce Russell Tsuchida Mohamed H. Zaki Alexandra Brintrup A. Neely BDL 16 48 0 15 May 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning Yilun Du Karthik Narasimhan 19 33 0 13 May 2019
Learning to Paint With Model-based Deep Reinforcement Learning Zhewei Huang Wen Heng Shuchang Zhou GAN 16 153 0 11 Mar 2019
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning Ramtin Keramati Jay Whang Patrick Cho Emma Brunskill OffRL 18 7 0 01 Jun 2018