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Hi,
This is a meaningful work to combine imitation learning and reinforcement learning in a hierarchical architecture to solve Montezuma’s Revenge.
I successfully run the code to train hybrid_rl_il_…
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The problem when I train a model after compiling will be like this:
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A.L.E: Arcade…
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@JesseFarebro Do you plan to release on Conda as well as PyPI once the Python release is complete? Gym (and PettingZoo) are currently available on it.
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A.L.E: Arcade Learning Environment (version 0.6.0)
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Use -help for help screen.
Warning: couldn't load settings file: ./ale.cfg
Traceback (most recent call last):
File "AtariD…
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Hello
How does one run this code for the freeway environment?
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Currently, the ALE doesn't serialize the RAM or frame buffer when cloning states. There are various issues with naively doing this (see #413) but there are potential workarounds.
1. Add a flag to o…
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Hi All!
Thank you for this amazing project. I am just wondering, is Linux ARM64 supported? I am trying to compile and install it myself with the below, but it appears that the ROMs are not found th…
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Using the `pitfall.bin` specified by the md5 file (`3e90cf23106f2e08b2781e41299de556`) if you start a game and then do nothing for 20 minutes, the timer runs out but `game_over()` is not set to true.
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(eprop-figure) rlcube@rlcube:~/dchen/eligibility_propagation/Figure_4_and_5_ATARI$ python compile.py ale
- compiling using command: g++ -std=c++11 -shared ale.cc -o tfaleop.so -fPIC -I /home/rlcube/m…
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The experiments that exist in the current OpenRLBenchmark generally only include algorithms in a subset of atari environments (e.g. Breakout, Pong, BeamRider, SpaceInvaders, ...).
In the process of…