Safety Gymnasium
PulseAugur coverage of Safety Gymnasium — every cluster mentioning Safety Gymnasium across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New research advances AI alignment and sample efficiency in imitation learning
Researchers have developed new methods to improve the alignment of artificial intelligence agents with human values. One approach, Feedback Manipulation Regularization (FMR), uses evaluative feedback as a corrective sig…
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New RL methods enhance LLM training stability and efficiency · 7 sources tracked
Researchers have developed several new methods to improve the stability and efficiency of reinforcement learning (RL) in large language models (LLMs). STARE addresses policy entropy collapse by reweighting token-level a…
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LLMs help train safer AI policies with limited violation data
Researchers have developed PROCO, a novel framework for offline safe reinforcement learning designed for scenarios with limited violation data. This model-based approach integrates natural language knowledge from large …