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Use GridWorld as an example. Will be useful to have a discrete version of SARSA before implementing any continuous stuff.
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File "../irl/mdp/objectworld.py", line 56, in __init__
super().__init__(grid_size, wind, discount)
TypeError: super() takes at least 1 argument (0 given)
Could anyone give any help?
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At the time of writing, it's sometimes difficult to figure out how the generated Python objects work. This is partially due to their hard-to-read boostpython-generated docs:
```
In [8]: q = MDP.QLear…
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Check this out: a quick and dirty (but very lucid) syntax for specifying and simulating a policy could be
```julia
mdp = GridWorld()
sim(mdp) do s
# code that calculates action a based on s …
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I've encountered some issues in reproducing results from the VIN paper. I've run commands from the [scripts/nips_gridworld_experiments_VIN.sh](https://github.com/avivt/VIN/blob/master/scripts/nips_gri…
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Trying this two different q_functions:
(non recurrent)
```
class QFunction(chainer.Chain, StateQFunction):
def __init__(self, n_input_channels=3, n_actions = 4, bias=0.1):
…
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I extended the GridWorld example with observations. I get the error:
Probabilities sum up to 0. It should sum up to 1
here is a log:
WARNING
model.pomdpx:Line 32:
In Belief Function Tables state0…
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I tried to produce the grid_world data wth the script of `script_make_data.m`. However, I obtained
```no obstacles added, or problem with border, regenerating map```
I print out `dom` and check…
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When I run the program with the provided data, I met shape mismatch error. The command I used is:
```
root@32f2d2ff7341:~/VIN# python NN_run_training.py --model valIterBatch --input ./data/gridworld…