Reinforcement Learning
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What is Reinforcement Learning?
Red teaming RL-based AI systems involves testing for vulnerabilities such as reward hacking (exploiting the reward function to induce unintended behavior), unsafe exploration (agent takes harmful actions during learning), or susceptibility to adversarial perturbations in the environment's state. Understanding the agent's policy and value functions is crucial for designing effective tests against RL agents.
Free resources to learn Reinforcement Learning
More in stage 2: Prompt Hacking
Reinforcement Learning: common questions
Can I learn Reinforcement Learning in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Reinforcement Learning in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Reinforcement Learning tutorial for beginners?
It is lesson 9 of 64 in the free AI Red Teaming roadmap, in stage 2, Prompt Hacking. If you are new to AI Red Teaming, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.