Adaptive representations for reinforcement learning

Adaptive representations for reinforcement learning

Show other versions (1)

Not available === text

Bibliographic Details
Main Author:	Whiteson, Shimon Azariah
Format:	Others
Language:	English
Published:	2008
Subjects:	Reinforcement learning (Machine learning) Evolutionary computation
Online Access:	http://hdl.handle.net/2152/3088

Similar Items

Adaptive representations for reinforcement learning
by: Whiteson, Shimon Azariah
Published: (2011)

Efficient Novelty Search Through Deep Reinforcement Learning
by: Longxiang Shi, et al.
Published: (2020-01-01)

Design, evaluation and comparison of evolution and reinforcement learning models
by: Mclean, Clinton Brett
Published: (2002)

Efficiency Comparison Between Curriculum Reinforcement Learning & Reinforcement Learning Using ML-Agents.
by: Tabell Johnsson, Marco, et al.
Published: (2020)

Bounding Box Improvement with Reinforcement Learning
by: Cleland, Andrew Lewis
Published: (2018)

Structured exploration for reinforcement learning
by: Jong, Nicholas K.
Published: (2012)

A study of model-based average reward reinforcement learning
by: Ok, DoKyeong
Published: (2012)

Mutual Reinforcement Learning
by: Reid, Cameron
Published: (2021)

Physics-based reinforcement learning for autonomous manipulation
by: Scholz, Jonathan
Published: (2016)

Reinforcement learning for adaptive threshold control of restorative brain-computer interfaces: a Bayesian simulation
by: Robert eBauer, et al.
Published: (2015-02-01)

Action-Based Representation Discovery in Markov Decision Processes
by: Osentoski, Sarah
Published: (2009)

Hierarchical average reward reinforcement learning
by: Seri, Sandeep
Published: (2012)

Evolutionary Framework With Reinforcement Learning-Based Mutation Adaptation
by: Karam M. Sallam, et al.
Published: (2020-01-01)

A Dimensional Comparison between Evolutionary Algorithm and Deep Reinforcement Learning Methodologies for Autonomous Surface Vehicles with Water Quality Sensors
by: Samuel Yanes Luis, et al.
Published: (2021-04-01)

Adversarial Reinforcement Learning for Control System Design: A Deep Reinforcement Learning Approach
by: Yang, Zhaoyuan, Yang
Published: (2018)

Comparison of deep reinforcement learning algorithms in a self-play setting
by: Kumar, Sunil
Published: (2021)

Optimization Foundations of Reinforcement Learning
by: Bhandari, Jalaj
Published: (2020)

An Adaptive Strategy Selection Method With Reinforcement Learning for Robotic Soccer Games
by: Haobin Shi, et al.
Published: (2018-01-01)

Reinforcement Learning and Physics
by: José D. Martín-Guerrero, et al.
Published: (2021-09-01)

Energy and Performance Trade-Off Optimization in Heterogeneous Computing via Reinforcement Learning
by: Zheqi Yu, et al.
Published: (2020-11-01)

Representation discovery using a fixed basis in reinforcement learning
by: Wookey, Dean Stephen
Published: (2017)

A Data-Driven Automatic Design Method for Electric Machines Based on Reinforcement Learning and Evolutionary Optimization
by: Takahiro Sato, et al.
Published: (2021-01-01)

Reinforcement Learning Interpretation Methods: A Survey
by: Alnour Alharin, et al.
Published: (2020-01-01)

Reinforcement Learning with Auxiliary Memory
by: Suggs, Sterling
Published: (2021)

Using Reinforcement Learning in Partial Order Plan Space
by: Ceylan, Hakan
Published: (2006)

Robot Navigation in Cluttered Environments with Deep Reinforcement Learning
by: Weideman, Ryan
Published: (2019)

Multi Agent Reinforcement Learning for Game Theory : Financial Graphs
by: Yu, Bryan
Published: (2021)

Multi-Agent Reinforcement Learning: A Review of Challenges and Applications
by: Lorenzo Canese, et al.
Published: (2021-05-01)

Utilizing negative policy information to accelerate reinforcement learning
by: Irani, Arya John
Published: (2015)

Biased Exploration in Offline Hierarchical Reinforcement Learning
by: Miller, Eric D.
Published: (2021)

On the Use of Deep Reinforcement Learning for Visual Tracking: A Survey
by: Giorgio Cruciata, et al.
Published: (2021-01-01)

Deep Reinforcement Learning for Intelligent Road Maintenance in Small Island Developing States Vulnerable to Climate Change : Using Artificial Intelligence to Adapt Communities to Climate Change
by: Elvira, Boman
Published: (2018)

Single asset trading: a recurrent reinforcement learning approach
by: Nikolic, Marko
Published: (2020)

Solution Of Delayed Reinforcement Learning Problems Having Continuous Action Spaces
by: Ravindran, B
Published: (2012)

Reinforcement learning in commercial computer games
by: Coggan, Melanie.
Published: (2008)

Collision Avoidance for Virtual Crowds Using Reinforcement Learning
by: Dönmez, Halit Anil
Published: (2017)

Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review
by: Rongrong Liu, et al.
Published: (2021-01-01)

Bayesian methods for knowledge transfer and policy search in reinforcement learning
by: Wilson, Aaron (Aaron Creighton)
Published: (2012)

Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
by: Al-Fuqaha, A., et al.
Published: (2022)

An Efficient Hardware Implementation of Reinforcement Learning: The Q-Learning Algorithm
by: Sergio Spano, et al.
Published: (2019-01-01)