Safety Gym

📰 OpenAI News

OpenAI releases Safety Gym, a suite of environments and tools for measuring progress towards reinforcement learning agents that respect safety constraints while training

intermediate Published 21 Nov 2019
Action Steps
  1. Explore the Safety Gym environment and tools
  2. Read the research paper on Safety Gym
  3. Use the provided starter agents to develop and test safe exploration algorithms
  4. Evaluate and compare the performance of different algorithms using the benchmark provided
Who Needs to Know This

Researchers and developers working on reinforcement learning and AI safety can benefit from Safety Gym to develop and test safe exploration algorithms

Key Insight

💡 Safety Gym provides a standardized method for comparing algorithms and measuring progress towards safe exploration in reinforcement learning

Share This
🚀 OpenAI releases Safety Gym to help develop safe reinforcement learning agents! 🤖
Read full article → ← Back to News