Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
PulseAugur coverage of Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning — every cluster mentioning Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning across labs, papers, and developer communities, ranked by signal.
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New RM-VLM approach uses LLMs and VLMs to automate reward machine generation
Researchers have introduced RM-VLM, a novel approach that leverages large language models (LLMs) and vision-language models (VLMs) to automatically generate reward machines (RMs) from natural-language task descriptions.…
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New Pareto Q-Learning algorithm enhances multi-objective reinforcement learning
Researchers have introduced Pareto Q-Learning with Reward Machines (PQLRM), a novel multi-objective reinforcement learning algorithm designed for tasks with complex reward structures defined by reward machines. This alg…