Reinforcement Learning, Gaming, Deep Learning.
to_torch.JaxToTorchWrapper(env, device=device) create_video(env, 1000) env = create_env('brax-inverted_pendulum-v0', num_envs=1) obs = env.reset() print("Num envs: ", obs.shape[0], "Obs dimentions: ", obs.shape[1]) env.observation_space obs, reward, done, info = env.step(env.action_space.sample())