Seyed Kamyar Seyed Ghasemipour

According to our database1, Seyed Kamyar Seyed Ghasemipour authored at least 13 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Learning Interactive Real-World Simulators.
CoRR, 2023

Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning.
CoRR, 2023

2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
CoRR, 2022

Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement Learning.
CoRR, 2022

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022

2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization.
CoRR, 2021

EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL.
Proceedings of the 38th International Conference on Machine Learning, 2021

2019
SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Understanding the Relation Between Maximum-Entropy Inverse Reinforcement Learning and Behaviour Cloning.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

A Divergence Minimization Perspective on Imitation Learning Methods.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Gradient-based Optimization of Neural Network Architecture.
Proceedings of the 6th International Conference on Learning Representations, 2018


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