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Abdus Salam Azad

2 accepted papers

2023

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning

ICML 2023poster

Reinforcement Learning (RL) algorithms are often known for sample inefficiency and difficult generalization. Recently, Unsupervised Environment Design (UED) emerged as a new paradigm for zero-shot generalization by simultaneously learning a task distribution and agent policies on the generated tasks…

2022

Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning

AAAI 2022technical

The capability of a reinforcement learning (RL) agent heavily depends on the diversity of the learning scenarios generated by the environment. Generation of diverse realistic scenarios is challenging for real-time strategy (RTS) environments. The RTS environments are characterized by intelligent ent…

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