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Added ICLR 2024 Video-based rl approaches #12

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Jun 2, 2024
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Added ICLR 2024 Video-based rl approaches #12

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4 changes: 4 additions & 0 deletions README.md
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Expand Up @@ -6,6 +6,10 @@ INTREPID (stands for INTeractive learning via REPresentatIon Discovery) is a lib

A list of algorithms, environments, and utils are given below. For full details see [Wiki](https://github.com/microsoft/Intrepid/wiki) of this repository.

**Updates:**

- June 2024: Video-based representation learning added from Misra, Saran, et al. [ICLR 2024 paper](https://openreview.net/pdf?id=3mnWvUZIXt)

## What is Interactive Learning and Representation Discovery

Consider any agent, also called decision maker, (e.g., a bot, robot, LLM) that is taking actions in an environment (e.g., a place, an OS). The world changes as a effect of the agent's action and also because of other noise in (e.g., a person maybe moving in the background or an OS may receive a notification unrelated to what the bot did). The goal of this agent is to solve a task, e.g., navigate safetly to a given location, or compose an email and send it off. The agent maybe take a series of actions to accomplish its goal. This is called an *Interactive Learning* task as the agent interacts with the world.
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