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In this work we propose a novel task framework under which a variety ofphysical reasoning puzzles can be constructed using very simple rules. Undersparse reward settings, most of these tasks can be very challenging for areinforcement learning agent to learn. We build several simple environmentswith this task framework in Mujoco and OpenAI gym and attempt to solve them. Weare able to solve the environments by designing curricula to guide the agent inlearning and using imitation learning methods to transfer knowledge from asimpler environment. This is only a first step for the task framework, andfurther research on how to solve the harder tasks and transfer knowledgebetween tasks is needed.

BlockPuzzle - A Challenge in Physical Reasoning and Generalization for Robot Learning