update: README

Author: typoverflow

README.md

@@ -1,6 +1,6 @@
 # Flow RL
 
-[![PyPI version](https://img.shields.io/pypi/v/flowrl.svg)](https://pypi.org/project/flowrl) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) [![Python 3.8+](https://img.shields.io/badge/python-3.11%2B-green.svg)](https://www.python.org/) [![Python 3.8+](https://static.pepy.tech/badge/flowrl)](https://pepy.tech/projects/flowrl)
+[![PyPI version](https://img.shields.io/pypi/v/flowrl.svg)](https://pypi.org/project/flowrl) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) [![Python 3.11+](https://img.shields.io/badge/python-3.11%2B-green.svg)](https://www.python.org/) [![Python 3.8+](https://static.pepy.tech/badge/flowrl)](https://pepy.tech/projects/flowrl)
 
 Flow RL is a high-performance reinforcement learning library, combining modern deep RL algorithms with flow and diffusion models for advanced policy parameterization, planning ability or dynamics modeling. It features:
 - **State-of-the-Art Algorithms and Efficiency**: We provide JAX implementations of SOTA algorithms, such FQL, BDPO, DAC and etc;
@@ -21,9 +21,10 @@ The entry files are presented in `examples/`. Please refer to the scripts in `sc
 Offline RL:
 |Algorithm|Location|WandB Report|
 |:---:|:---:|:---:|
-|IQL|`flowrl/agent/iql.py`| |
-|IVR|`flowrl/agent/ivr.py`| |
-|BDPO|`flowrl/agent/bdpo.py`| |
+|IQL|`flowrl/agent/iql.py`|[[Performance]](https://wandb.ai/lamda-rl/flow-rl?nw=urvdu9rz7b&panelDisplayName=eval%2Fmean&panelSectionName=eval) [[Full Log]](https://wandb.ai/lamda-rl/flow-rl?nw=urvdu9rz7b)|
+|IVR|`flowrl/agent/ivr.py`|[[Performance]](https://wandb.ai/lamda-rl/flow-rl/panel/nz7r4sj4n?nw=oslzekjlr1q) [[Full Log]](https://wandb.ai/lamda-rl/flow-rl?nw=oslzekjlr1q)|
+|FQL|`flowrl/agent/fql/fql.py`|[[Performance]](https://wandb.ai/lamda-rl/flow-rl?nw=u9y84ki7rdi&panelDisplayName=eval%2Fmean&panelSectionName=eval) [[Full Log]](https://wandb.ai/lamda-rl/flow-rl?nw=u9y84ki7rdi)|
+|BDPO|`flowrl/agent/bdpo/bdpo.py`|[[Performance]](https://wandb.ai/lamda-rl/flow-rl/panel/nz7r4sj4n?nw=2q8v54gusia) [[Full Log]](https://wandb.ai/lamda-rl/flow-rl?nw=2q8v54gusia)|
 
 ## 📝 Citing Flow RL
 If you use Flow RL in your research, please cite:

flowrl/__init__.py

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-__version__ = "0.0.1"
+__version__ = "0.0.2"