Abhishek Joshi

Artificial Intelligence · 2024

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

Whom Abhishek Joshi trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Dean A. Pomerleau (in Reinforcement Learning)
  2. Sergey Levine (in Reinforcement Learning)

Papers from Abhishek Joshi's perspective

Ordered by how strongly the researchers Abhishek Joshi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ALVINN, an autonomous land vehicle in a neural network
  3. AI2-THOR: An Interactive 3D Environment for Visual AI
  4. QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
  5. Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours
  6. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  7. High-Resolution Image Synthesis with Latent Diffusion Models (Computer Vision and Pattern Recognition)
  8. Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems (arXiv.org)
  9. Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation
  10. robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Their papers