pre-release 0.10.0

benchmarks/a3c/README.md

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+# A3C
+
+Each experiment uses 3 seeds.
+The parameters used for Clipped PPO are the same parameters as described in the [original paper](https://arxiv.org/abs/1707.06347).
+
+### Inverted Pendulum A3C - 1/2/4/8/16 workers
+
+```bash
+python3 coach.py -p Mujoco_A3C -lvl inverted_pendulum -n 1
+python3 coach.py -p Mujoco_A3C -lvl inverted_pendulum -n 2
+python3 coach.py -p Mujoco_A3C -lvl inverted_pendulum -n 4
+python3 coach.py -p Mujoco_A3C -lvl inverted_pendulum -n 8
+python3 coach.py -p Mujoco_A3C -lvl inverted_pendulum -n 16
+```
+
+<img src="inverted_pendulum_a3c.png" alt="Inverted Pendulum A3C" width="800"/>
+
+
+### Hopper A3C - 16 workers
+
+```bash
+python3 coach.py -p Mujoco_A3C -lvl hopper -n 16
+```
+
+<img src="hopper_a3c_16_workers.png" alt="Hopper A3C 16 workers" width="800"/>
+
+
+### Walker2D A3C - 16 workers
+
+```bash
+python3 coach.py -p Mujoco_A3C -lvl walker2d -n 16
+```
+
+<img src="walker2d_a3c_16_workers.png" alt="Walker2D A3C 16 workers" width="800"/>
+
+
+### Space Invaders A3C - 16 workers
+
+```bash
+python3 coach.py -p Atari_A3C -lvl space_invaders -n 16
+```
+
+<img src="space_invaders_a3c_16_workers.png" alt="Space Invaders A3C 16 workers" width="800"/>