AI-powered system for low-exposure route optimization using AQI, simulation, and intelligent decision-making
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Updated
Mar 30, 2026 - Python
AI-powered system for low-exposure route optimization using AQI, simulation, and intelligent decision-making
OpenEnv Hackathon SF
An agent must triage incoming support/compliance emails using respond, escalate, or archive while minimizing risk and maximizing completion quality.
OpenEnv-compliant RL environment simulating a customer support agent workflow with 3 graded tasks
CNN based PPO agent and LLM based GRPO agent to play SMB on openenv wrapper using Leirbag-gabrieL's gym-super-mario-bros fork
A realistic OpenEnv environment for training AI agents to perform enterprise email triage across multi-email inbox workflows, with structured actions, tool usage, and reward shaping, built for the Scaler x Meta PyTorch Hackathon.
OpenEnv-compliant RL environment for SQL query debugging. Built for META x PyTorch x SST OpenEnv Hackathon.
Multi-zone disaster relief AI env for Meta PyTorch OpenEnv Hackathon. 4-stage pipeline: PyTorch ZoneScorerNet -> Triage -> Planner -> Action Agent. False SOS detection, cascading failures, airlift precision.
An OpenEnv-compatible multi-agent simulation for benchmarking LLM behavior in positive-sum economies, focusing on trust dynamics and resource scarcity.
High-fidelity Reinforcement Learning environment for smart grids. Features a custom DC Power Flow physics solver and real-world AT&C telemetry to train AI in power distribution and fault isolation.
Recursive Language Model Demo
AI-powered clinical triage simulation using Manchester Triage System (MTS). OpenEnv Challenge 2026 entry with A2A protocol support.
An OpenEnv-compliant RL environment for training AI SOC analysts to triage logs and detect cyber threats.
Simulation environment for autonomous drones that recharge using dynamic wireless power beams.
Multi-zone disaster relief AI env for Meta PyTorch OpenEnv Hackathon. 4-stage pipeline: PyTorch ZoneScorerNet -> Triage -> Planner -> Action Agent. False SOS detection, cascading failures, airlift precision.
AgentWorkBench is an OpenEnv-compatible environment designed to evaluate AI agents on real-world task management including classification, prioritization, and workflow optimization with deterministic grading.
Enterprise-grade OpenEnv environment for AI-driven customer support triage. Features stochastic noise, multi-turn dialogue reasoning, and deterministic reward scoring for benchmarking AI agents.
OpenEnv-compatible AI agent environment for reviewing LLM-generated content — hallucination, bias, toxicity & incoherence detection
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