Comments (1)
Hi,
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We created a wiki page with instructions for adding a new game.
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and 3. This repository is an environment on which you can train a variety of agents. The only agents provided here are sample agents in C++ and Python.
You can check out our fork of deep_q_rl which runs the basic DQN on top of RLE in Python.
Porting other implementation to use RLE rather than ALE should be fairly simple as the interface is mostly the same.
from retro-learning-environment.
Related Issues (20)
- deep_q_rl error HOT 5
- Problem with python installer HOT 2
- Test with DQN tensorflow version HOT 1
- Illegal instruction (core dumped) when loading the ROM HOT 19
- Trouble installing on mac osx (Yosemite, 10.10.5) HOT 1
- python_interface gives wrong game screen dimensions HOT 1
- Trouble installing on AWS HOT 1
- Issue compiling on Ubuntu HOT 13
- SDL interface not displaying game screen with display_screen set to True HOT 3
- Install RLE on CentOS Linux release 7.2.1511 HOT 4
- ImportError: cannot import name 'RLEInterface' HOT 6
- In Street Fighter II, rle.game_over() automatically set to true in the middle of the game HOT 3
- fix setup.py HOT 1
- Snes9X HOT 1
- Python quick start HOT 4
- game_over() set to True when Mario gets a Mushroom in Super Mario World HOT 6
- [Question] What is the core_file in the python example? HOT 1
- Can not get SDL display to work with python example. HOT 1
- Python3 compatability HOT 1
- Compile error HOT 9
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from retro-learning-environment.