← Search

Tushar Kumar

2 accepted papers

2021

Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning

CoRL 2021poster

We demonstrate the possibility of learning drone swarm controllers that are zero-shot transferable to real quadrotors via large-scale multi-agent end-to-end reinforcement learning. We train policies parameterized by neural networks that are capable of controlling individual drones in a swarm in a fu…

Cited by 59SourcecodeScholar
2020

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

ICML 2020poster

Increasing the scale of reinforcement learning experiments has allowed researchers to achieve unprecedented results in both training sophisticated agents for video games, and in sim-to-real transfer for robotics. Typically such experiments rely on large distributed systems and require expensive hard…