Update README.md

## TRICO Overview

VAGEN introduces TRICO, a specialized algorithm for visual agents that extends previous approaches with several key improvements:

Building on recent advances in LLM reinforcement learning, we propose TRICO, a specialized algorithm for visual agents with serval explorations, as shown in figures below.

<p align="center"><img src="./public/overview_1.png" width="800px" alt="TRICO Overview -1" /></p>

<p align="center"><img src="./public/overview_2.png" width="800px" alt="TRICO Overview -2" /></p>

Building on recent advances in LLM reinforcement learning, TRICO explores several key innovations for visual agents:

* **Selective Training**: Uses masks to control which tokens contribute to the learning process and advantage estimation process

   * **LM**: Loss Mask, state tokens (image tokens and text description tokens) are masked during the critic and actor update

   * **GM**: GAE Mask, state tokens are masked during generalized advantage estimation (GAE)

## Running Experiments

```bash

# Run experiments with different settings

# To reproduce our reults, you can run

bash vagen/vagen/examples/release_experiments/gae.sh

bash vagen/vagen/examples/release_experiments/grpo_mask_loss.sh

bash vagen/vagen/examples/release_experiments/grpo.sh