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A benchmark to address the challenge of agents transferring their learned skills to related environments; primarily for causal structure and transfer learning.

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

ICLR, (2021)

Cited by: 9|Views209
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Abstract

Despite recent successes of reinforcement learning (RL), it remains a challenge for agents to transfer learned skills to related environments. To facilitate research addressing this, we propose CausalWorld, a benchmark for causal structure and transfer learning in a robotic manipulation environment. The environment is a simulation of an o...More

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Author
Ossama Ahmed
Ossama Ahmed
Frederik Träuble
Frederik Träuble
Alexander Neitz
Alexander Neitz
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