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solving compatbility issues with baselines + update envs, rewards, terminal conditions, states/actions

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Brian Delhaisse
2019-08-21 08:23:04 +02:00
parent a0de5e0a0b
commit f5ed2b45ef
60 changed files with 1968 additions and 473 deletions
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docs/source/pyrobolearn.rst
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@@ -163,8 +163,9 @@ we now provide a brief overview of each submodule and its intended use:
- ``returns``: this provides the various returns and estimators that are used in RL.
- ``algos``: this contains the various learning algorithms on how to acquire the data and train the various models
(policies, values, dynamics, etc).
- ``metrics``: this contains the various metrics that are used in different learning paradigms. They are not currently
all implemented. You can put different metrics together and plot them by just calling the ``plot`` method.
- ``metrics``: this contains the various metrics that are used in different learning paradigms (imitation, reinforcement,
transfer, etc). They are not currently all implemented. You can combine different metrics together and plot them by
just calling the ``plot`` method.
Other folders include:
docs/source/robots.rst
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@@ -236,6 +236,8 @@ To illustrate how to create your own robot, let's assume you want to create a hu
Sensors and Actuators
---------------------
Both sensors and actuators are attached to joints or links, and interact with the simulator interface. They notably both accept a ``noise`` distribution, the number of ``ticks`` (i.e. the number of steps to wait/sleep before the acquisition of the next sensor value), the ``latency`` (currently fixed).
* Sensors
* Actuators