Rajbala Makar
Reinforcement Learning · 2001
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 15 citations into it; #841 of 2,242 by trust here, #1,415 by citations
- Artificial Intelligence — 7 citations into it; #10,096 of 35,345 by trust here, #16,166 by citations
- Management Science and Operations Research — 5 citations into it
Whom Rajbala Makar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Barto
- Richard S. Sutton
- Sridhar Mahadevan
- Ronald E. Parr
- Thomas G. Dietterich
- Michael L. Littman
- Satinder Singh
- Michael Kearns
- Prasad Tadepalli
- Michael H. Bowling
Who trusts Rajbala Makar overall
- Mostafa Al-Emran
- Ermo Wei
- Afshin Oroojlooyjadid
- Sean Luke
- Sanjeevan Ahilan
- Liviu Panait
- Lucian Busoniu
Papers from Rajbala Makar's perspective
Ordered by how strongly the researchers Rajbala Makar trusts endorse each paper. Same corpus, a different order for every researcher.
- Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
- Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
- ImageNet classification with deep convolutional neural networks
- Reinforcement Learning: An Introduction
- Learning from delayed rewards
- Gradient-based learning applied to document recognition
- Recent Advances in Hierarchical Reinforcement Learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- The Complexity of Decentralized Control of Markov Decision Processes
- Scaling Up Average Reward Reinforcement Learning by Approximating the Domain Models and the Value Function
Their papers
- Hierarchical multi-agent reinforcement learning (2001) — 282 citations