Expired60% confidenceFactExact time
decisionrl is an open-source reinforcement learning library developed by developer Denis Drobyshev, specifically targeting operational decision-making problems.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/15/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/13/2026(expired)
Sources
Related Claims
UnverifiedAlgorithms supported by decisionrl include online algorithms such as DQN, PPO, SAC, and TRPO, as well as offline RL, model-based methods, multi-agent, and meta-reinforcement learning.65% similarUnverifiedThe Decision API is a dedicated interface launched by Perplexity whose core capability is to deliver structured judgments or recommendations on user questions based on real-time online retrieval, rather than simply returning raw search results.62% similarUnverifiedThe way the Decisions API works is that a developer passes in a piece of text or an image, sets a question along with a set of possible answers, and the model returns the selected result.61% similarUnverifiedThe Decisions API employs a constrained output design, treating the model as a high-speed classifier and decision-maker while retaining image understanding, multilingual support, and safety protection capabilities.60% similarUnverifiedThe underlying layer of decisionrl is a general-purpose RL framework with type annotations and test coverage, supporting mainstream online algorithms such as DQN, PPO, SAC, and TRPO.58% similar
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