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shubhamjha97 committed Nov 10, 2018
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38 changes: 28 additions & 10 deletions RLkit.egg-info/PKG-INFO
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Metadata-Version: 1.1
Metadata-Version: 2.1
Name: RLkit
Version: 0.1
Version: 0.2.0
Summary: A simple RL library.
Home-page: http://github.com/shubhamjha97/RLkit
Author: Shubham Jha
Author-email: jha1shubham@gmail.com
License: MIT
Description: # A simple agent trained to play LunarLander using Policy Gradients
Description: # RLkit: A simple Reinforcement Learning library

This project is still a work in progress. More algorithms and detailed documentation coming soon :)

To run the code-
```
python3 main.py
```
Currently supported agents-

1. Random agent
2. REINFORCE (Policy Gradients)
3. DQN
4. DQN with baseline
5. Actor-Critic

See examples for details on how to use the library.

Requirements-
```
gym==0.10.5
matplotlib==2.2.3
tensorflow==1.6.0
tensorflow==1.11.0
gym==0.10.8
numpy==1.15.4
```

## New in v0.2
- Added DQN and DQN with baseline agents
- Added ActorCritic agent
- Added support for various activation functions


## Upcoming
- Duelling DQN
- Support for logging and plotting
- Support for adding seeds
- Support for custom environments
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
7 changes: 4 additions & 3 deletions RLkit.egg-info/SOURCES.txt
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RLkit/algorithms/__init__.py
RLkit/algorithms/agent.py
RLkit/algorithms/dqn.py
RLkit/algorithms/gpi.py
RLkit/algorithms/policy_gradients.py
RLkit/algorithms/random_agent.py
RLkit/algorithms/utils.py
RLkit/algorithms/utils.py
RLkit/algorithms/policy_gradients/ActorCritic.py
RLkit/algorithms/policy_gradients/REINFORCE.py
RLkit/algorithms/policy_gradients/__init__.py
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3 changes: 2 additions & 1 deletion setup.py
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from setuptools import setup, find_packages

setup(name='RLkit',
version='0.2',
version='0.2.0',
description='A simple RL library.',
url='http://github.com/shubhamjha97/RLkit',
author='Shubham Jha',
author_email='jha1shubham@gmail.com',
license='MIT',
long_description=open('README.md').read(),
long_description_content_type="text/markdown",
install_requires=[
'tensorflow==1.11.0',
'gym==0.10.8',
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