pre-release 0.10.0

benchmarks/ddpg/README.md

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+# DDPG
+
+Each experiment uses 3 seeds and is trained for 2k environment steps.
+The parameters used for DDPG are the same parameters as described in the [original paper](https://arxiv.org/abs/1509.02971).
+
+### Inverted Pendulum DDPG - single worker
+
+```bash
+python3 coach.py -p Mujoco_DDPG -lvl inverted_pendulum
+```
+
+<img src="inverted_pendulum_ddpg.png" alt="Inverted Pendulum DDPG" width="800"/>
+
+
+### Inverted Double Pendulum DDPG - single worker
+
+```bash
+python3 coach.py -p Mujoco_DDPG -lvl inverted_double_pendulum
+```
+
+<img src="inverted_double_pendulum_ddpg.png" alt="Inverted Double Pendulum DDPG" width="800"/>
+
+
+### Reacher DDPG - single worker
+
+```bash
+python3 coach.py -p Mujoco_DDPG -lvl reacher
+```
+
+<img src="reacher_ddpg.png" alt="Reacher DDPG" width="800"/>
+
+
+### Hopper DDPG - single worker
+
+```bash
+python3 coach.py -p Mujoco_DDPG -lvl hopper
+```
+
+<img src="hopper_ddpg.png" alt="Hopper DDPG" width="800"/>
+
+
+### Half Cheetah DDPG - single worker
+
+```bash
+python3 coach.py -p Mujoco_DDPG -lvl half_cheetah
+```
+
+<img src="half_cheetah_ddpg.png" alt="Half Cheetah DDPG" width="800"/>
+
+
+### Walker 2D DDPG - single worker
+
+```bash
+python3 coach.py -p Mujoco_DDPG -lvl walker2d
+```
+
+<img src="walker2d_ddpg.png" alt="Walker 2D DDPG" width="800"/>
+
+
+### Ant DDPG - single worker
+
+```bash
+python3 coach.py -p Mujoco_DDPG -lvl ant
+```
+
+<img src="ant_ddpg.png" alt="Ant DDPG" width="800"/>
+
+
+### Swimmer DDPG - single worker
+
+```bash
+python3 coach.py -p Mujoco_DDPG -lvl swimmer
+```
+
+<img src="swimmer_ddpg.png" alt="Swimmer DDPG" width="800"/>
+
+
+### Humanoid DDPG - single worker
+
+```bash
+python3 coach.py -p Mujoco_DDPG -lvl humanoid
+```
+
+<img src="humanoid_ddpg.png" alt="Humanoid DDPG" width="800"/>