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pre-release 0.10.0

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# Clipped PPO
Each experiment uses 3 seeds and is trained for 10k environment steps.
The parameters used for Clipped PPO are the same parameters as described in the [original paper](https://arxiv.org/abs/1707.06347).
### Inverted Pendulum Clipped PPO - single worker
```bash
python3 coach.py -p Mujoco_ClippedPPO -lvl inverted_pendulum
```
<img src="inverted_pendulum_clipped_ppo.png" alt="Inverted Pendulum Clipped PPO" width="800"/>
### Inverted Double Pendulum Clipped PPO - single worker
```bash
python3 coach.py -p Mujoco_ClippedPPO -lvl inverted_double_pendulum
```
<img src="inverted_double_pendulum_clipped_ppo.png" alt="Inverted Double Pendulum Clipped PPO" width="800"/>
### Reacher Clipped PPO - single worker
```bash
python3 coach.py -p Mujoco_ClippedPPO -lvl reacher
```
<img src="reacher_clipped_ppo.png" alt="Reacher Clipped PPO" width="800"/>
### Hopper Clipped PPO - single worker
```bash
python3 coach.py -p Mujoco_ClippedPPO -lvl hopper
```
<img src="hopper_clipped_ppo.png" alt="Hopper Clipped PPO" width="800"/>
### Half Cheetah Clipped PPO - single worker
```bash
python3 coach.py -p Mujoco_ClippedPPO -lvl half_cheetah
```
<img src="half_cheetah_clipped_ppo.png" alt="Half Cheetah Clipped PPO" width="800"/>
### Walker 2D Clipped PPO - single worker
```bash
python3 coach.py -p Mujoco_ClippedPPO -lvl walker2d
```
<img src="walker2d_clipped_ppo.png" alt="Walker 2D Clipped PPO" width="800"/>
### Ant Clipped PPO - single worker
```bash
python3 coach.py -p Mujoco_ClippedPPO -lvl ant
```
<img src="ant_clipped_ppo.png" alt="Ant Clipped PPO" width="800"/>
### Swimmer Clipped PPO - single worker
```bash
python3 coach.py -p Mujoco_ClippedPPO -lvl swimmer
```
<img src="swimmer_clipped_ppo.png" alt="Swimmer Clipped PPO" width="800"/>
### Humanoid Clipped PPO - single worker
```bash
python3 coach.py -p Mujoco_ClippedPPO -lvl humanoid
```
<img src="humanoid_clipped_ppo.png" alt="Humanoid Clipped PPO" width="800"/>

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