Search Results for author: Pranav Shyam

Found 8 papers, 7 papers with code

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

2 code implementations20 Dec 2021 Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen

Diffusion models have recently been shown to generate high-quality synthetic images, especially when paired with a guidance technique to trade off diversity for fidelity.

Ranked #28 on Text-to-Image Generation on COCO (using extra training data)

Image Inpainting Zero-Shot Text-to-Image Generation

Training Agents using Upside-Down Reinforcement Learning

7 code implementations5 Dec 2019 Rupesh Kumar Srivastava, Pranav Shyam, Filipe Mutz, Wojciech Jaśkowski, Jürgen Schmidhuber

Many of its general principles are outlined in a companion report; the goal of this paper is to develop a practical learning algorithm and show that this conceptually simple perspective on agent training can produce a range of rewarding behaviors for multiple episodic environments.

reinforcement-learning reinforcement Learning

Model-Based Active Exploration

2 code implementations29 Oct 2018 Pranav Shyam, Wojciech Jaśkowski, Faustino Gomez

Efficient exploration is an unsolved problem in Reinforcement Learning which is usually addressed by reactively rewarding the agent for fortuitously encountering novel situations.

Efficient Exploration reinforcement Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.