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Reinforcement Learning | Meta-Learning | AutoML

I am a Ph.D. candidate at the Institute of Artificial Intelligence, Hannover. I am interested in exploring how agents can learn to abstract structure out of tasks and use this to adapt better to different classes of tasks. Thus, I am currently working on gaining further insight into Generalization and Algorithm Design in (Automated) Reinforcement Learning. My greater research ambition is to create Robust and General Learning pipelines requiring minimal human handcrafting.

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Feel free to reach out to me at [email protected] .

Education

Aditya Mohan's Projects

ddpg icon ddpg

Reinforcement learning in python using DDPG (Lillicrap et al. 2016)

multiagent-particle-envs icon multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

old-projects icon old-projects

This is a collection of stuff done some years back, and the code is not properly cleaned since these were individual small projects

pymarl icon pymarl

Python Multi-Agent Reinforcement Learning framework

pythonrobotics icon pythonrobotics

To maintain a reference for robotics algorithms for project implementations

rai-python icon rai-python

Python bindings to rai. Simple interface to work with robot/world configurations, compute features and their Jacobians, inverse kinematics, path optimization.

robotics-course icon robotics-course

To maintian a local copy of the changed made in the repository for project and assignments

ryenv icon ryenv

Example environments for Reinforcement Learning with ry

smarts icon smarts

Scalable Multi-Agent RL Training School for Autonomous Driving

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