Choices, risks, and reward reporting. Recommendations for how to integrate RL systems with society.
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A tour of control theory, multi-agent RL, and hierarchical learning.
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Industry labs power up their robot learning research with parallelization!
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How RL is starting to be used by industry and how RL is heading to a framing more suited for industrial scales.
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Multi-agent scenarios make reward maximization a risk. Discussing when, rather than if, we should believe in the Reward Hypothesis.
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I make the case why people iteratively training any model should learn some core concerns of reinforcement learning.
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How simulator exploitation, a dual of over-optimization, in AI is the canary in the coal mine for what negative implications could come from…
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I don’t even like the idea of flying delivery drones, but that will be all we have.
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Some debates that will be settled en route to RL being used in all corners of the modern world.
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How English being the language of progress in AI could bias our machine’s minds and what we think they are capable of. Uncoupling AI from our notion of…
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Yes COVID accelerated automated manufacturing and logistics, but robots have not been helping out en masse anywhere else.
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The acrobatic dance videos are flashy, but what are the actual technical breakthroughs? What is happening to the Korean robotics industry?
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