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ReinforcementLearning.jl Release Notes

[email protected]

ReinforcementLearningExperiments.jl

v0.1.3

  • Test experiments on GPU by default #549

v0.1.2

  • Added an experiment for DQN training on discrete PendulumEnv (#537)

ReinforcementLearningEnvironments.jl

v0.6.12

  • Bugfix bug with is_discrete_space #566

v0.6.11

  • Bugfix of CartPoleEnv with keyword arguments

v0.6.10

  • Bugfix of CartPoleEnv with Float32

v0.6.9

  • Added a continuous option for CartPoleEnv #543.

v0.6.8

  • Support action_space(::TicTacToeEnv, player).

v0.6.7

  • Fixed bugs in plotting MountainCarEnv (#537)
  • Implemented plotting for PendulumEnv (#537)

v0.6.6

  • Bugfix with ZeroTo #534

ReinforcementLearningCore.jl

v0.8.7

  • Make GaussianNetwork differentiable. #549

v0.8.6

  • Fixed a bug [1] with the DoOnExit hook (#537)
  • Added some convenience hooks for rendering rollout episodes (#537)

v0.8.5

  • Fixed the method overwritten warning of device from CUDA.jl.

ReinforcementLearningZoo.jl

v0.5.6

  • Make BC GPU compatible #553

v0.5.5

  • Make most algorithms GPU compatible #549

v0.5.4

  • Support length method for VectorWSARTTrajectory.

v0.5.3

  • Revert part of the unexpected change of PPO in the last PR.

v0.5.2

  • Fixed the bug with MaskedPPOTrajectory reported here

v0.5.0

  • Update the complete SAC implementation and modify some details based on the original paper. #365
  • Add some extra keyword parameters for BehaviorCloningPolicy to use it online. #390

ReinforcementLearningDatasets.jl

v0.1.0

  • Add functionality for fetching d4rl datasets as an iterable DataSet. Credits: https://arxiv.org/abs/2004.07219
  • This supports d4rl and d4rl-pybullet and Google Research DQN atari datasets.
  • Uses DataDeps for data dependency management.
  • This package also supports RL Unplugged Datasets.
  • Support for google-research/deep_ope added.

[email protected]

ReinforcementLearningBase.jl

v0.9.6

  • Implement Base.:(==) for Space. #428

v0.9.5

  • Add default Base.:(==) and Base.hash method for AbstractEnv. #348

ReinforcementLearningCore.jl

v0.8.3

  • Add extra two optional keyword arguments (min_σ and max_σ) in GaussianNetwork to clip the output of logσ. #428

v0.8.2

  • Add GaussianNetwork and DuelingNetwork into ReinforcementLearningCore.jl as general components. #370
  • Export WeightedSoftmaxExplorer. #382

v0.8.1

  • Minor bug & typo fixes

v0.8.0

  • Removed ResizeImage preprocessor to reduce the dependency of ImageTransformations.
  • Show unicode plot at the end of an experiment in the TotalRewardPerEpisode hook.

ReinforcementLearningZoo.jl

v0.4.1

  • Make keyword argument n_actions in TabularPolicy optional. #300

v0.4.0

  • Moved all the experiments into a new package ReinforcementLearningExperiments.jl. The related dependencies are also removed (BSON.jl, StableRNGs.jl, TensorBoardLogger.jl).

ReinforcementLearningEnvironments.jl

v0.6.4-dev

  • Add GraphShortestPathEnv. #445

v0.6.3

v0.6.2

  • Add SequentialEnv environment wrapper to turn a simultaneous environment into a sequential one.

v0.6.1

  • Drop GR in RLEnvs and lazily load ploting functions.#309, #310

v0.6.0

  • Set AcrobotEnv into lazy loading to reduce the dependency of OrdinaryDiffEq.

ReinforcementLearningExperiments.jl

v0.1.0