wangjw55

Research Interest: Embodied AI, Visual Language Navigation, Reinforcement Learning. PhD candidate in Tongji University, China

Tongji UniversityShanghai,China

Pinned Repositories

QLAB
Quadrotor LAnding Benchmarking (QLAB) is a simulated environment for developing and testing landing algorithms for unmanned aerial vehicles.
Language:Python29 5 1010
MTAPN
Language:Python10
QLAB
Quadrotor LAnding Benchmarking (QLAB) is a simulated environment for developing and testing landing algorithms for unmanned aerial vehicles.
Language:Python0 0 00
soft-actor-critic
Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
Language:Python00
vqa.pytorch
Visual Question Answering in Pytorch
Language:Python00

wangjw55's Repositories

wangjw55/MTAPN
Language:Python10
wangjw55/QLAB
Quadrotor LAnding Benchmarking (QLAB) is a simulated environment for developing and testing landing algorithms for unmanned aerial vehicles.
Language:Python0 0 00
wangjw55/soft-actor-critic
Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
Language:Python00
wangjw55/vqa.pytorch
Visual Question Answering in Pytorch
Language:Python00