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Update getting_started.md #84

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Dec 2, 2023
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Update getting_started.md #84

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a88e211
Update getting_started.md
badfilms Dec 1, 2023
d9ce093
Add truncated check to trivial_random_agent.py
badfilms Dec 1, 2023
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2 changes: 1 addition & 1 deletion docs/getting_started.md
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Expand Up @@ -66,7 +66,7 @@ This algorithm works by building up a sequence of button presses that do well in

Using ["Proximal Policy Optimization"](https://arxiv.org/abs/1707.06347) by Schulman et al., you can train an agent to play many of the games, though it takes awhile and is much faster with a GPU.

This example requires installing [OpenAI Baselines](https://github.com/openai/baselines). Once installed, you can run it:
This example requires installing [Stable Baselines](https://github.com/DLR-RM/stable-baselines3). Once installed, you can run it:

```shell
python3 -m retro.examples.ppo --game Airstriker-Genesis
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5 changes: 3 additions & 2 deletions retro/examples/trivial_random_agent.py
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Expand Up @@ -5,9 +5,10 @@ def main():
env = retro.make(game="Airstriker-Genesis")
env.reset()
while True:
obs, rew, done, info = env.step(env.action_space.sample())
action = env.action_space.sample()
observation, reward, terminated, truncated, info = env.step(action)
env.render()
if done:
if terminated or truncated:
env.reset()
env.close()

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