Problem in net.add(ConcatFixedStd())

[larakim]

Hi there, I am trying to use your code to train some new pybullet environment. Here is my Pip log: Keras (2.0.2) Markdown (2.6.11) mock (2.0.0) numpy (1.13.3) pbr (3.1.1) Pillow (5.0.0) pip (9.0.1) protobuf (3.5.1) pybullet (1.7.4) pyglet (1.2.4) Pyste (0.9.10) PyYAML (3.12) requests (2.18.4) roboschool (1.0, /home/laraki/roboschool) scikit-learn (0.19.1) scipy (1.0.0) setuptools (20.7.0) six (1.11.0) sklearn (0.0) statistics (1.0.3.5) tabulate (0.8.2) tensorflow (1.4.1) tensorflow-tensorboard (0.4.0rc3) tflearn (0.3.2) Theano (0.9.0) unity-lens-photos (1.0) urllib3 (1.22) Werkzeug (0.14.1) wheel (0.29.0)

Traceback: sudo KERAS_BACKEND=theano python run_pg.py --gamma=0.995 --lam=0.97 --agent=modular_rl.agentzoo.TrpoAgent --max_kl=0.01 --cg_damping=0.1 --activation=tanh --n_iter=250 --seed=0 --timesteps_per_batch=5000 --env=InvertedPendulumBulletEnv-v0 --outfile=$outdir/InvertedPendulum-v0.h pybullet build time: Dec 6 2017 15:03:38 Using Theano backend. Traceback (most recent call last): File "run_pg.py", line 36, in agent = agent_ctor(env.observation_space, env.action_space, cfg) File "/home/laraki/roboschool/agent_zoo/modular_rl/modular_rl/agentzoo.py", line 118, in init policy, self.baseline = make_mlps(ob_space, ac_space, cfg) File "/home/laraki/roboschool/agent_zoo/modular_rl/modular_rl/agentzoo.py", line 38, in make_mlps net.add(ConcatFixedStd()) File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 455, in add output_tensor = layer(self.outputs[0]) File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 554, in call output = self.call(inputs, **kwargs) TypeError: call() takes exactly 3 arguments (2 given)

I did fix all the issues related to net.layers but I don't know how to fix this one, any ideas? Thanks in advance

[SiyuanLee]

I also meet this problem.

[d3473r]

I fixed the error in this fork: https://github.com/D3473R/modular_rl