activity
20202022
most citedDynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning

2 citations · 5 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV20221 cited

High-Fidelity Guided Image Synthesis with Latent Diffusion Models

Jaskirat Singh, Stephen Gould, Liang Zheng

Controllable image synthesis with user scribbles has gained huge public interest with the recent advent of text-conditioned latent diffusion models. The user scribbles control the…

cs.RO2022

Real-Time Heuristic Framework for Safe Landing of UAVs in Dynamic Scenarios

Jaskirat Singh, Neel Adwani, Harikumar Kandath +1

The world we live in is full of technology and with each passing day the advancement and usage of UAVs increases efficiently. As a result of the many application scenarios, there a…

cs.LG20212 cited

Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning

Jaskirat Singh, Liang Zheng

Training deep reinforcement learning agents on environments with multiple levels / scenes from the same task, has become essential for many applications aiming to achieve generaliz…

cs.LG2020

Enhanced Scene Specificity with Sparse Dynamic Value Estimation

Jaskirat Singh, Liang Zheng

Multi-scene reinforcement learning involves training the RL agent across multiple scenes / levels from the same task, and has become essential for many generalization applications.…

cs.CV2020

Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings

Jaskirat Singh, Liang Zheng

Generation of stroke-based non-photorealistic imagery, is an important problem in the computer vision community. As an endeavor in this direction, substantial recent research effor…

cs.LG20202 cited

Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning

Jaskirat Singh, Liang Zheng

Training deep reinforcement learning agents on environments with multiple levels / scenes / conditions from the same task, has become essential for many applications aiming to achi…