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v0.8.0
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ReinforcementLearning v0.8.0

Diff since v0.7.0

Closed issues:

  • Document basic environments (#129)
  • Improve interfaces for model exploration and hyperparameter optimization (#28)
  • Support SEED RL (SCALABLE AND EFFICIENT DEEP-RL ) (#62)
  • Rename AbstractAgent to AbstractPolicy (#111)
  • Add a stop condition to terminate the experiment after reaching reward threashold (#112)
  • ACME RL lib by deepmind (#85)
  • Definition of a policy (#86)
  • Add remote trajectories (#87)
  • Base.convert method for DiscreteSpace (#104)
  • Action Space Meaning (#88)
  • Base.in method for EmptySpace (#105)
  • Renaming get_terminal to isterminated (#106)
  • Requesting more informative field names for SharedTrajectory (#113)
  • Suggestion: More informative name for FullActionSet & MinimalActionSet (#107)
  • Returning an AbstractSpace object using get_actions (#108)
  • Split experiments into separate files (#145)
  • Add project.toml for tests (#146)
  • Docs build error (#91)
  • Split out Trajectory & CircularArrayBuffer as independent packages (#114)
  • Requesting explanation for better performance at ... (#115)
  • Add an extra mode when evaluating agent (#116)
  • Why are wrapper environments a part of RLBase instead of RLCore (say)? (#109)
  • The names of keyword arguments in Trajectory is kind of misunderstanding (#117)
  • Check compatibility between agent and environments (#118)
  • Behaviour for hooks for RewardOverridenEnv (#119)
  • StopAfterEpisode with custom DQNL errors beyond a particular Episode Count (#96)
  • ERROR: UndefVarError: NNlib not defined while loading agent (#110)
  • Use JLSO for (de)serialization? (#97)
  • Setup github actions (#98)
  • Fails to load trajectory (#150)
  • Test error in ReinforcementLearningEnvironments.jl (#152)
  • Move preallocations in MultiThreadEnv from global to local (#153)
  • remove @views (#155)
  • error in save & load ElasticCompactSARTSATrajectory (#156)
  • add early stopping in src\core\stop_conditions.jl (#157)
  • add time stamp in load & save function, in file src\components\agents\agent.jl (#158)
  • policies in GPU can not be saved || loaded (#159)
  • code formatting (#165)
  • Purpose of CommonRLInterface (#166)
  • Moving example environments from RLBase to RLEnvs? (#167)
  • Keeping prefix get_ in method names like get_reward (#168)
  • Currently getting an ambiguous method error in ReinforcementLearningCore v0.5.1 (#171)
  • TD3 Implementation (#174)
  • Travis CI Credits (#178)
  • Unrecognized symbols (#180)

Merged pull requests:

Assets 2