Major code refactoring #6
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…parts (#9) * Replace RLAlgorithm with the version from SAC. * Replace ReplayBuffer and miscellaneous helper functions. * Replace NNQFunction and Plotter. * Replace StochasticNNPolicy. * Change `Kernel` class into a function.
* Eliminate the need for custom rllab * Instead of a `SerializableTensor` hack, now using similar serialization scheme as in SAC. * Add scripts to test serialization. * Add option to train on EC2.
* Remove unused files and code * Add missing `__init__.py`s * Rename `algos` -> `algorithms` and `envs` -> `environments` * Overall clean-up here and there
* Sample a different latent for each sample in batch * Replace hacky `input_bounds` with proper squashing * Rename `mlp` -> `feedforward_net` and clean it up * Simplify `SQL` structure and consolidate notation * Remove temperature parameter
* Add wrapper for Gym environments * Update multigoal example. * Revert multigoal env.
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This pull request replaces large parts of the implementation with soft actor-critic code for better compatibility and easier maintenance. It also changes the way how the action bounds are enforced by replacing
InputBoundswith a squashing function (tanh).