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rlpark.github.io

RLPark - Home

RLPark is a Java reinforcement learning library to experiment with online learning algorithms on robots and benchmarks. RLPark uses Zephyr. For visualization and real-time display. Of RLPark without visualization. Can be run directly just using rlpark.jar. Demos of RLPark with visualization. Are available in Zephyr. To install them, download Zephyr standalone application. Then install all the RLPark features. In Zephyr. After the installation, a new Demos. RLPark features and algorithms:. A framework for...

http://rlpark.github.io/

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RLPark is a Java reinforcement learning library to experiment with online learning algorithms on robots and benchmarks. RLPark uses Zephyr. For visualization and real-time display. Of RLPark without visualization. Can be run directly just using rlpark.jar. Demos of RLPark with visualization. Are available in Zephyr. To install them, download Zephyr standalone application. Then install all the RLPark features. In Zephyr. After the installation, a new Demos. RLPark features and algorithms:. A framework for...
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RLPark - Home | rlpark.github.io Reviews

https://rlpark.github.io

RLPark is a Java reinforcement learning library to experiment with online learning algorithms on robots and benchmarks. RLPark uses Zephyr. For visualization and real-time display. Of RLPark without visualization. Can be run directly just using rlpark.jar. Demos of RLPark with visualization. Are available in Zephyr. To install them, download Zephyr standalone application. Then install all the RLPark features. In Zephyr. After the installation, a new Demos. RLPark features and algorithms:. A framework for...

INTERNAL PAGES

rlpark.github.io rlpark.github.io
1

RLPark - Video and Screenshot Gallery

http://rlpark.github.io/screenshots.html

Video and Screenshot Gallery. Demo RLPark: mountain car with Sarsa. Demo RLPark: actor-critic with a Swing-up Pendulum. Demo RLPark: Off-policy Actor-Critic (Off-PAC) on a 2D continuous world. IRobot Create doing nexting. Maze with Q-Learning, the value function is displayed on the maze:. Mountain Car with Sarsa, including a display of the value function in 2D and a bar graph of the policy in the current state:. The swing pendulum demo with two views of the weights of the value function:.

2

RLPark - Documentation

http://rlpark.github.io/documentation.html

Documentation is usually written on requests. If the code is unclear and you would like a specific point to be documented in RLPark, please send an email to the group. With the appropriate information. Github repository: https:/ github.com/rlpark/rlpark. Code snippets on reinforcement learning:. Sarsa on Mountain Car. QLearning in a Maze. Actor-critic on the Pendulum with Continuous Action. Off-PAC learning off-policy in a 2D continuous world. Using Scheduling for Running Jobs in Parallel.

3

RLPark - Publications

http://rlpark.github.io/publications.html

Publications and RLPark usages. There are different ways to use RLPark: for running experiments, as an implementation template to copy-paste the code from, for making videos for presentations or teaching, etc. With a reference on your paper, or your name, your institution, and a line about how you used/use RLPark. I will update this page with this information. Thank you. So far, RLPark usages and publications are:. Between instruction and reward: human-prompted switching. NIPS Dec 13, 2011 and JNNS Dec 1...

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RLPark - Home

http://rlpark.github.io/index.html

RLPark is a Java reinforcement learning library to experiment with online learning algorithms on robots and benchmarks. RLPark uses Zephyr. For visualization and real-time display. Of RLPark without visualization. Can be run directly just using rlpark.jar. Demos of RLPark with visualization. Are available in Zephyr. To install them, download Zephyr standalone application. Then install all the RLPark features. In Zephyr. After the installation, a new Demos. RLPark features and algorithms:. A framework for...

5

RLPark - Download

http://rlpark.github.io/download.html

RLPark Java Archive (JAR). RLPark Java Archive is available at the following url:. Http:/ rlpark.github.io/rlpark.jar. The source code should be included in the jar. If not, it is a bug. Plugins for Zephyr and Eclipse (Optional). Note: you can run the demos of RLPark by downloading Zephyr standalone application. And installing RLPark plugins. Start Zephyr or Eclipse. In the menu, go to: Help - Install New Software. Copy/Paste the link: http:/ rlpark.github.io/site. Follow Eclipse installation instructions.

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Zephyr - Home

http://zephyrplugins.github.io/index.html

There are two common ways to debug code. The first way is to use a debugger to check the state of the code at a given point in time and trace code execution. The second way is to use print. Statements (or more generally log files) to trace events when they happen. Zephyr. Proposes a third easy way. Zephyr is distributed as a standalone executable to run Java jars, Python or Clojure scripts, and as a collection of Eclipse plugins to integrate with Eclipse RCP applications for debugging.

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RLPark - Home

RLPark is a Java reinforcement learning library to experiment with online learning algorithms on robots and benchmarks. RLPark uses Zephyr. For visualization and real-time display. Of RLPark without visualization. Can be run directly just using rlpark.jar. Demos of RLPark with visualization. Are available in Zephyr. To install them, download Zephyr standalone application. Then install all the RLPark features. In Zephyr. After the installation, a new Demos. RLPark features and algorithms:. A framework for...

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