Automated transfer in reinforcement learning
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Summary
The final author version and the galley proof are versions of the publication after peer review that features the final layout of the paper including the volume, issue and page numbers.
- Type
- article
- Published
- 2013-01-01
- Cited by
- 42
- References
- 93
- Access
- Open access
- OpenAlex
- https://openalex.org/W126751897
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:57135694
Keywords
Reinforcement, Transfer of learning, Reinforcement learning, Computer science, Artificial intelligence
References
- How Humans Teach Agents - A New Experimental Perspective
- Using Homomorphisms to Transfer Options across Continuous Reinforcement Learning Domains
- On Contrastive Divergence Learning
- Two Distributed-State Models For Generating High-Dimensional Time Series
- Reinforcement learning transfer via sparse coding
- Learning from demonstration and adaptation of biped locomotion
- Theory and Application of Reward Shaping in Reinforcement Learning
- Exponential Family Sparse Coding with Application to Self-taught Learning
- Building Portable Options: Skill Transfer in Reinforcement Learning
- Using Bisimulation for Policy Transfer in MDPs
- Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
- Machine learning of motor skills for robotics
- A Unifying View of Sparse Approximate Gaussian Process Regression
- ASYMPTOTIC THEORY FOR MAXIMUM LIKELIHOOD ESTIMATION OF THE MEMORY PARAMETER IN STATIONARY GAUSSIAN PROCESSES
- Local and global sparse Gaussian process approximations
- Discovering Hierarchy in Reinforcement Learning with HEXQ
- Structure in the Space of Value Functions
- Proto-transfer Learning in Markov Decision Processes Using Spectral Methods
- Relativized Options: Choosing the Right Transformation
- Reinforcement Learning and Dynamic Programming Using Function Approximators
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