Gyan Tatiya
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
Whom Gyan Tatiya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Gyan Tatiya's perspective
Ordered by how strongly the researchers Gyan Tatiya trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Proximal Policy Optimization Algorithms (arXiv.org)
- Gotta Learn Fast: A New Benchmark for Generalization in RL
- GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Towards Continual Reinforcement Learning: A Review and Perspectives
- Attention is All you Need (Neural Information Processing Systems)
- D4RL: Datasets for Deep Data-Driven Reinforcement Learning
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)