garage

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Hi, Thank you for providing the quality code. I have a implementation detail question. 1. Why don't you just call optimizer.step() after meta_objective.backward()? https://github.com/rlworkgroup/garage/blob/f056fb8f6226c83d340c869e0d5312d61acf07f0/src/garage/torch/algos/maml.py#L124-L127

seolhokim

Rework garage.torch.optimizers

3

krzentner

Hi I implemented a customized version of the gym reacher environment - actually using an aditional parameter (cameras) for rendering in multiple camera perspectives. I also wrapped the environment with...

Suli1223

Make LogEncoder more robust

1

This hopefully fixes #2328

krzentner

Make environment with 2 discrete action

1

i was trying to make environment with 2 discrete action . but i couldn't find argument for akro.Discrete to change shape to 2 . How can i make environment with...

Ahmadmoo

Suggestion to add how to implement pre-trained policies.

1

Hi! I'm currently working to implement a policy trained using SAC in mujoco into a real robot. I'm trying to load the two q-functions but I obtain weird result in...

bara-bba

KeyError: 'render.modes' in GymEnv wrapping "CartPole-vX"

2

Apparently, classic control environments in Gym have a different key for render modes in `env.metadata`. In fact: ```python >>> import gym >>> env = gym.make('CartPole-v1') >>> env.metadata {'render_modes': ['human', 'rgb_array'],...

AndreaFinazzi

Constraining the output interval of the GaussianLSTMModel to [0.0 .. 1.0]

1

What would be the simplest way to constrain the GaussianLSTMModel [1] to output values only within the interval [0.0 .. 1.0]? [1] https://github.com/rlworkgroup/garage/blob/6461a071f0155712add1b41316003e90c9c77899/src/garage/tf/models/gaussian_lstm_model.py#L16 Many thanks in advance!

glisca

Support GPUs in RaySampler

1

This has been frequently requested. We've avoided adding support largely because it's difficult to test, and because for many environments sampling on cpu is more efficient anyways, but there are...

krzentner

Garage + macOS m1 apple silicon

1

Hi, Is there anyone who could run any Garage example on MacBook pro m1? Thanks in advance.

sadegh16