RLkit: A simple Reinforcement Learning library
This project is still a work in progress. More algorithms and detailed documentation coming soon :)
Currently supported agents-
- Random agent
- REINFORCE (Policy Gradients)
- DQN
- DQN with baseline
- Actor-Critic
See examples for details on how to use the library.
Requirements-
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
1 maintainer
Release files for RLkit 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| RLkit-0.2.0.tar.gz | 6.2 kB | Details |
Release files / RLkit-0.2.0.tar.gz
| Download URL | RLkit-0.2.0.tar.gz |
|---|---|
| Size | 6.2 kB |
| Tags | Source |
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