v0.4.0

ReinforcementLearningEnvironments v0.4.0

Diff since v0.3.3

Closed issues:

• Add a general grid world environment (#71)
• Port unmerged environments from FluxML/Gym.jl#37 to this package (#92)
• Question about observation/states (#99)

Merged pull requests:

• Revert auto format related changes (#96) (@findmyway)
• CompatHelper: bump compat for "GR" to "0.53" (#98) (@github-actions[bot])
• MassInstallAction: Install the CompatHelper workflow on this repository (#100) (@findmyway)
• Add GitHub Actions CI (#101) (@Sid-Bhatia-0)
• Update dependency of RLBase (#103) (@findmyway)

v0.3.3

ReinforcementLearningEnvironments v0.3.3

Diff since v0.3.2

Merged pull requests:

• CompatHelper: bump compat for "GR" to "0.52" (#85) (@github-actions[bot])
• support == and hash for OpenSpielEnv (#90) (@findmyway)
• Adding Black Jack Environment (#93) (@RajGhugare19)

v0.3.2

ReinforcementLearningEnvironments v0.3.2

Diff since v0.3.1

Merged pull requests:

• Multi agent changes (#82) (@findmyway)
• Bump version (#84) (@findmyway)

v0.3.1

ReinforcementLearningEnvironments v0.3.1

Diff since v0.3.0

Closed issues:

• Add SnakeGame (#75)
• what happened to render function? (#79)

Merged pull requests:

• Add wrapper for snake game (#80) (@findmyway)

v0.3.0

ReinforcementLearningEnvironments v0.3.0

Diff since v0.2.6

Closed issues:

• Support CommonRLInterface (#70)

Merged pull requests:

• CompatHelper: bump compat for "GR" to "0.51" (#74) (@github-actions[bot])
• Update RLBase to v0.8 (#76) (@findmyway)

v0.2.6

ReinforcementLearningEnvironments v0.2.6

Diff since v0.2.5

Closed issues:

• Warning: Package ReinforcementLearningEnvironments does not have PyCall in its dependencies (#27)
• Error while training a basic DQN in MountainCarEnv (#67)

Merged pull requests:

• Load only methods with @require (#68) (@jbrea)

v0.2.5

ReinforcementLearningEnvironments v0.2.5

Diff since v0.2.4

Closed issues:

• Implement Acrobot (#9)
• Incorrect type when sampling from Spaces (#55)
• Issue while using Float32 as type for the MountainCar env (#62)

Merged pull requests:

• add finalizer for AtariEnv (#56) (@findmyway)
• CompatHelper: bump compat for "GR" to "0.50" (#58) (@github-actions[bot])
• added acrobot code (#59) (@gpavanb1)
• CompatHelper: add new compat entry for "OrdinaryDiffEq" at version "5.39" (#60) (@github-actions[bot])
• Allow setting data type in discrete MountainCarEnv (#63) (@findmyway)
• Fixes to Pendulum.jl and some standardizing of classical control envs (#65) (@AlexLewandowski)

v0.2.4

ReinforcementLearningEnvironments v0.2.4

Diff since v0.2.3

Closed issues:

• Reduce dependencies (#42)
• remove rng in OpenSpielEnv without chance node (#48)

Merged pull requests:

• Overload ReinforcementLearningBase.render for MountainCarEnv (#43) (@cstjean)
• CompatHelper: bump compat for "GR" to "0.48" (#45) (@github-actions[bot])
• CompatHelper: bump compat for "StatsBase" to "0.33" (#47) (@github-actions[bot])
• CompatHelper: bump compat for "GR" to "0.49" (#50) (@github-actions[bot])
• Update OpenSpiel wrapper (#52) (@findmyway)

v0.2.3

ReinforcementLearningEnvironments v0.2.3

Diff since v0.2.2

Merged pull requests:

• Fix terminal state in PendulumNonInteractiveEnv. (#39) (@aterenin)
• CompatHelper: bump compat for "GR" to "0.47" (#40) (@github-actions[bot])
• add doc (#41) (@findmyway)

v0.2.2

ReinforcementLearningEnvironments v0.2.2

Diff since v0.2.1

Merged pull requests:

• Keep the type of reward from CartPoleEnv stable (#36) (@findmyway)
• Add non-interactive pendulum environment. (#37) (@aterenin)