Merge pull request #25 from whitemech/develop

Release 0.3.0

Author: marcofavorito

.github/dependabot.yml

@@ -0,0 +1,8 @@
+version: 2
+updates:
+- package-ecosystem: pip
+  directory: "/"
+  schedule:
+    interval: daily
+    time: "04:00"
+  open-pull-requests-limit: 10

.github/workflows/test.yml

@@ -13,7 +13,7 @@ jobs:
 
     strategy:
       matrix:
-        os: [ubuntu-latest, macos-latest, windows-latest]
+        os: [ubuntu-latest] #, macos-latest, windows-latest]
         python-version: [3.7, 3.8]
 
     timeout-minutes: 30

HISTORY.md

@@ -1,5 +1,27 @@
 # History
 
+## 0.3.0 (2021-06-20)
+
+* Simplify APIs of `TemporalWrapper`: remove `feature_extractor` and 
+  `combine` parameters, as well as reward shaping support.
+  The reason is that these functionalities, in the OpenAI Gym "philosophy",
+  should be delegated to other Gym wrappers, e.g. `ObservationWrapper`
+  for combining the features and the automata states.
+* Remove `flloat` dependency. Since `TemporalGoal` now only requires 
+  a `pythomata.DFA` object, it is up to the user to decide how to 
+  generate the reward automaton.
+* Update dependencies to their latest version, e.g. `pythomata`.
+* The `reset()` method of the temporal wrapper now first resets
+  the temporal goals, and then makes a step on each of them
+  according to the fluents extracted from the environment's initial
+  state. This is needed because otherwise the initial state
+  of the wrapped environment is ignored.
+* The support for terminating conditions from the temporal goals
+  is removed. Again, this is because the only job of the 
+  DFAs is to provide rewards according to the history of the
+  episode; any other customization of the underlying envrionment,
+  or the wrapper, must be done by using other wrappers. 
+
 ## 0.2.3 (2020-09-24)
 
 * Let temporal wrapper initialization directly from DFA

mkdocs.yml

@@ -1,4 +1,5 @@
 site_name: temprl
+site_url: https://whitemech.github.io/temprl
 repo_name: 'whitemech/temprl'
 repo_url: https://github.com/whitemech/temprl