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cs.CV2023
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics
Kuo-Hao Zeng, Luca Weihs, Roozbeh Mottaghi +1
A common assumption when training embodied agents is that the impact of taking an action is stable; for instance, executing the "move ahead" action will always move the agent forwa…
cs.CV2023
When Learning Is Out of Reach, Reset: Generalization in Autonomous Visuomotor Reinforcement Learning
Zichen Zhang, Luca Weihs
Episodic training, where an agent's environment is reset after every success or failure, is the de facto standard when training embodied reinforcement learning (RL) agents. The und…