gymnasium
PulseAugur coverage of gymnasium — every cluster mentioning gymnasium across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New ShIOEnv environment aids grammar-constrained shell command synthesis
Researchers have developed ShIOEnv, a new Bash environment compatible with Gymnasium, designed to generate execution-annotated shell input traces. This environment is crucial for training models to simulate shell execut…
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LFORLA launches new benchmarks for RL agents and geo-location tasks
The LFORLA benchmark suite has introduced two new evaluation frameworks, one for Reinforcement Learning (RL) game agents and another for Satellite Geo QCM (Question-Context Matching). Both benchmarks emphasize comparabi…
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Stanford researchers use RL for pediatric echo lab resource allocation
Researchers from Stanford University and Lucile Packard Children's Hospital have developed a simulation model to optimize resource allocation in a pediatric echocardiography lab. They compared on-the-fly patient allocat…
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EliteTable algorithm uses LLMs to improve program search for control tasks
Researchers have developed EliteTable, a novel self-improving program-search algorithm that leverages large language models (LLMs) to enhance performance on control tasks. The algorithm uses a fixed-capacity table to st…
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New Open-Source Simulator for Electric Ride-Hailing Fleet Control
Researchers have developed OpenHail, an open-source simulation environment designed for controlling electric ride-hailing fleets. This new tool, built on the Gymnasium framework, is specifically tailored to handle the c…
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New DR-Gym environment trains AI for electric utility demand-response programs
Researchers have developed DR-Gym, an open-source, Gymnasium-compatible environment designed to train and evaluate demand-response programs from an electric utility's perspective. This simulator addresses the limitation…
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New AI benchmark environment created for Dark Souls boss fights · 2 sources tracked
Researchers have developed the Dark Souls Learning Environment (DSLE), a platform designed to benchmark AI agents against the boss encounters in Dark Souls: Remastered. The environment presents 22 boss fights as challen…
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Bespoke Labs seeks researcher for long-horizon agent benchmarks
Bespoke Labs is seeking a researcher to develop and evaluate reinforcement learning environments and benchmarks for long-horizon agent tasks. The role requires demonstrated experience with multi-step reasoning agents, s…
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Java and Python integration for reinforcement learning detailed
Guilherme Alves Silveira has detailed a method for integrating Java and Python within reinforcement learning frameworks. The approach aims to streamline the connection between these two programming languages, enabling d…
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New algorithm synthesizes formally verified control policies for autonomous systems
Researchers have developed SMC-ES, a new algorithm that integrates Evolutionary Strategies with Statistical Model Checking to automatically synthesize control policies for autonomous systems. This method provides formal…
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New benchmark evaluates AI agents for trustworthiness in energy markets
Researchers have introduced SolarChain-Eval, a new benchmark designed to assess the trustworthiness of AI agents operating in decentralized energy markets. This benchmark incorporates physics constraints to evaluate age…
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New research revisits action factorization for complex RL spaces · 2 sources tracked
A new research paper explores methods for handling complex action spaces in reinforcement learning, particularly those that combine discrete and continuous actions. The study analyzes various factorization techniques ac…
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New SciVerseGym environment standardizes AI-driven crystal discovery
Researchers have developed SciVerseGym, a new environment compatible with Gymnasium that frames crystal discovery as a Markov decision process. This platform allows agents to interact with atomistic structures, apply ed…
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New MuJoCo-Drones-Gym simulator enhances multi-drone RL research
Researchers have developed MuJoCo-Drones-Gym, an open-source simulation environment for multi-drone reinforcement learning. Built on the MuJoCo physics engine, it offers GPU acceleration and supports flexible physics mo…
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New benchmark tests AI's hierarchical moral alignment in ethical dilemmas
Researchers have developed MoralityGym, a new benchmark designed to evaluate how well AI agents can navigate complex ethical dilemmas and adhere to hierarchical moral norms. The benchmark utilizes a novel formalism call…
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New DR-Gym environment trains AI for electric utility demand response
Researchers have developed DR-Gym, an open-source Gymnasium-compatible environment to train reinforcement learning agents for optimizing electric utility demand-response programs. This simulator addresses the challenge …
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New EO-Gym environment trains AI agents for interactive Earth Observation analysis
Researchers have introduced EO-Gym, an interactive framework designed for Earth Observation (EO) agents. This environment supports multimodal analysis and tool usage, simulating real-world EO tasks that often involve ex…