Comments (1)
'render' should only be called if you set the flag '-v 1', so that isn't a strict dependency, but I did notice when trying out GuessingGame-v0 that I'm not properly handling Discrete input spaces so I'll submit a fix for that shortly since I'd like the code to be compatible with all gym environments.
I agree that the code shouldn't be coupled too closely with OpenAI gym so it would be straightforward to use the algorithms in conjunction with e.g. DeepMind Lab, Universe, custom environments, etc. so I'll try to clean up the interfaces to make integration with other environments easier
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Related Issues (19)
- clang error when running setup.py HOT 2
- a question on the implementation of exploration bonus HOT 3
- about fast_cts.pyx HOT 1
- Explanation on DQN needed HOT 2
- About actor_learner.py
- segmentation fault with fast_cts.pyx HOT 7
- reproducing your stellar result on Montzuma's Revenge HOT 9
- Tensorboard summaries not appearing HOT 1
- Learning rate calculation of adam wrong? HOT 3
- Training slowing down dramatically HOT 1
- 2to3 python 2 -> 3 upgrade HOT 2
- PseudoCountQLearner
- Cannot install(swig.exe error)
- Can't use MountainCarContinuous-v0 with trpo-continuous HOT 2
- Wrong check for 'reward_threshold' property in cem_actor_learner.py HOT 1
- Missing logger in value_based_actor_learner.py
- Can't test CartPole-v0 model trained with TRPO HOT 3
- no 'target_network' for A3CLearner when testing HOT 1
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