Knowledge Abstraction in Reinforcement Learning and Its Application on Robotics (original) (raw)
Related papers
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
arXiv (Cornell University), 2023
Using background knowledge to speed reinforcement learning in physical agents
Proceedings of the fifth international conference on Autonomous agents - AGENTS '01, 2001
Scaling up reinforcement learning with a relational representation
2003
Hierarchical Abstraction in Reinforcement Learning Based on Feature Discovery
2010
Incorporating prior knowledge and previously learned information into reinforcement learning agents
2000
Structural knowledge transfer by spatial abstraction for reinforcement learning agents
Adaptive Behavior, 2010
Temporal Abstraction in Reinforcement Learning Based on Environmental Feature
2008
Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
Artificial Intelligence, 1999
Accelerating reinforcement learning by reusing abstract policies
2011
Reduction of Learning Time for Robots Using Automatic State Abstraction
Springer Tracts in Advanced Robotics, 2006
Algorithms and Representations for Reinforcement Learning
Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning
IEEE transactions on neural networks and learning systems, 2017
Relational Concepts in Deep Reinforcement Learning: Emergence and Representation
2020
Learning to Act with RVRL Agents
2007
Speeding-up reinforcement learning through abstraction and transfer learning
Proceedings of the 2013 International Conference on Autonomous Agents and Multi Agent Systems, 2013
Hierarchical Reinforcement Learning: Learning sub-goals and state-abstraction
6Th Iberian Conference on Information Systems and Technologies, 2011
RL-TOPs: An Architecture for Modularity and Re-Use In Reinforcement Learning
Proc. 15th International Conf. on Machine Learning, 1998
Hierarchical Reinforcement Learning: a Hybrid Approach
2002
Building Relational World Models for Reinforcement Learning
A hybrid architecture for situated learning of reactive sequential decision making
Applied Intelligence, 1999
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning
2020
Incorporating Prior Knowledge and Previously Learned Information into Reinforcement Learning
2001
Accelerating Reinforcement Learning through the Discovery of Useful Subgoals
2001
Programmable Reinforcement Learning Agents
Policyblocks: An algorithm for creating useful macro-actions in reinforcement learning
2002
Computing Research Repository, 2010
State Abstraction for Programmable Reinforcement Learning Agents
A Framework for Learning and Control in Intelligent
An Architecture for Behavior-Based Reinforcement Learning
Adaptive Behavior, 2005
An algebraic approach to abstraction in reinforcement learning
2004
Module-based reinforcement learning: Experiments with a real robot
Machine Learning, 1998
Autonomous learning of high-level states and actions in continuous environments.
Jonathan Mugan and Benjamin Kuipers. 2012. Autonomous learning of high-level states and actions in continuous environments. IEEE Transactions on Autonomous Mental Development 4(1): 70-86, 2012., 2012
Artificial Intelligence, 1998