# Ray Tune and Ray RLLIB

**URL:** <https://discuss.ray.io/t/ray-tune-and-ray-rllib/9278>\
**Category:** RLlib\
**Created:** [February 7, 2023, 3:20pm UTC](https://discuss.ray.io/t/ray-tune-and-ray-rllib/9278 "2023-02-07T15:20:40Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![Archana\_R](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/archana_r/32/3829_2.png) [@Archana\_R](https://discuss.ray.io/u/Archana_R)\
**Post date:** [February 7, 2023, 3:20pm UTC](https://discuss.ray.io/t/ray-tune-and-ray-rllib/9278/1 "2023-02-07T15:20:40Z")

</div>

Hi ,  
I have finally managed to run the PPOTrainer.train() without much issues ( Thanks to @mannyv ) .  
However, i see that my agent is not learning when i look into the rewards.

1. Should i first use Ray.tune for hyperparamter tuning and then use PPOTrainer.train() ?
2. How can i display the results from train() better ?

Thank you in advance!

---

<div class="post-metadata">

**Author:** ![arturn](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/arturn/32/2096_2.png) [@arturn](https://discuss.ray.io/u/arturn)\
**Post date:** [April 14, 2023, 12:06am UTC](https://discuss.ray.io/t/ray-tune-and-ray-rllib/9278/2 "2023-04-14T00:06:28Z")

</div>

Always visualize your results to understand what your agent is doing.  
A good starting point for the work you are facing is [http://joschu.net/docs/nuts-and-bolts.pdf](http://joschu.net/docs/nuts-and-bolts.pdf)