v0.5.4

AlphaZero v0.5.4

Diff since v0.5.3

Closed issues:

• Deprecate Util.mapreduce in favor of something more standard (#54)
• Use Base.Logging and ProgressLogging (#55)
• How to use multiple GPUs on a single node (#69)
• Cloud computing (#80)
• Iterative vs continuous learning (#81)
• Does Alpha Zero require a static representation of a scenario (#83)
• Does it make sense to attempt to apply AlphaZero to "Agricola" (#100)
• Multiplayer capability (#101)
• Issue while running this in local (#107)
• The strength of the Mancala bot (#110)
• 6 dependencies errored (#112)
• Issue with dummy_run() (#114)
• StackOverflowError (during training) (#116)
• To continue a training (#118)
• How important is GI.vectorize_state function? (#119)
• When exploring a position, what these abbreviations mean? (#121)
• Cloud service for AlphaZero.jl (#122)
• Number of network parameters (#126)
• Scripts.explore (#136)
• How to disable benchmarks? (#137)
• A log of played games during training (#138)
• Which hyperparameters? (#139)
• Cannot run sample (#143)
• GPU vs CPU (#144)
• MCTS.RolloutOracle(gspec) (#145)
• num_filters=128 (#150)
• NVIDIA GeForce GTX 1650 isn't good? (#151)
• What's the best OS for AlphaZero.jl ? (#153)
• Does it work with Tesla? (#154)

Merged pull requests:

• CompatHelper: bump compat for Distributions to 0.25, (keep existing compat) (#98) (@github-actions[bot])
• CompatHelper: bump compat for Flux to 0.13, (keep existing compat) (#108) (@github-actions[bot])
• Fix typo in readme (#109) (@LilithHafner)
• Update report.jl (#111) (@gwario)
• CompatHelper: bump compat for Setfield to 1, (keep existing compat) (#128) (@github-actions[bot])
• Fix parameter access (#130) (@gwario)
• CompatHelper: bump compat for LoggingExtras to 1, (keep existing compat) (#152) (@github-actions[bot])

v0.5.3

AlphaZero v0.5.3

Diff since v0.5.2

Closed issues:

• CUDA Error (#57)
• τ=0.5 errors (#67)
• Using continuous rewards (i.e., non ternary games) (#77)
• Support for singleplayer games (#79)
• Debugging in VS Code (#84)
• Desired Type hierarchy for adding GNN's (#85)
• MCTS.explore! must be called before MCTS.policy (#86)

Merged pull requests:

• Extend documentation in CommonRLInterface (#70) (@johannes-fischer)
• Fix error with discounting in RolloutOracle (#73) (@johannes-fischer)
• Replace mkdir by mkpath (#74) (@johannes-fischer)
• Use joinpath to make code more robust on Windows machines (#75) (@johannes-fischer)
• Update experiment.md (#82) (@yutaizhou)
• Fix memory analysis (#89) (@johannes-fischer)
• call batch on vectors (not generators) (#91) (@CarloLucibello)
• add CompatHelper (#92) (@CarloLucibello)
• CompatHelper: bump compat for Setfield to 0.8, (keep existing compat) (#94) (@github-actions[bot])
• CompatHelper: bump compat for ExprTools to 0.1, (keep existing compat) (#95) (@github-actions[bot])
• CompatHelper: bump compat for Documenter to 0.27, (keep existing compat) (#96) (@github-actions[bot])
• CompatHelper: bump compat for Distributions to 0.25, (keep existing compat) (#97) (@github-actions[bot])

v0.5.2

AlphaZero v0.5.2

Diff since v0.5.1

Closed issues:

• Support for OpenSpiel games? (#15)
• How to use AlphaZero.jl for Openspiel games? (#46)
• Current status of Multi-threading MCTS Benchmarking? (#56)
• Performance Docs (#58)
• isprobvec(p) error? (#59)
• Do these readout look correct? (#60)
• Benchmark Questions? (#61)
• Does Scripts.play("connect-four") cheat? (#62)
• isprobvec(p) whenever using Benchmark.NetworkOnly(τ=0.5) (#63)
• How exactly does Alphazero's MCTS work? (#64)
• Any idea what's causing this? (#65)

Merged pull requests:

• OpenSpiel.jl support (#68) (@michelangelo21)

v0.5.1

AlphaZero v0.5.1

Diff since v0.5.0

Closed issues:

• API discussion (#4)
• self play takes more and more time (#41)
• Supervised learning (#48)
• MCTS Optimization for sparse actions (#49)
• Training on the cloud / multiple instances / clusters (#50)
• Any Tips for per-player tracking? (#51)
• Sanity Checks (#52)
• Speed issues? (#53)

Merged pull requests:

• Mancala - fixed set_state!() (#44) (@michelangelo21)
• Invert temperature in formula (documentation) (#45) (@johannes-fischer)

v0.5.0

AlphaZero v0.5.0

Diff since v0.4.0

• Improved the inference server so that it is now possible to keep MCTS workers
  running while a batch of requests is being processed by the GPU. Concretely,
  this translates into SimParams now having two separate num_workers and
  batch_size parameters.
• The inference server is now spawned on a separate thread to ensure minimal latency.

Together, the two aforementioned improvements result in a 30% global speedup on the
connect-four benchmark.

v0.4.0

AlphaZero v0.4.0

This release brings many new features to AlphaZero.jl including:

• Added support for CommonRLInterface.jl.
• Added a grid-world MDP example illustrating this new interface.
• Added support for distributed training: it is now equally easy to train an agent on
  a cluster of machines than on a single computer.
• Replaced the async MCTS implementation by a more straightforward synchronous
  implementation. Network inference requests are now batched across game simulations.
• Added the Experiment and Scripts module to simplify common tasks.

See CHANGELOD.md for details.

Closed issues:

• Connect Four training must be restarted about every 24 hours due to an OOM error (#1)
• The Flux backend is currently broken (#2)
• Importation of training parameters from JSON is broken (#3)
• UndefVarError: lib not defined when training a connect four agent (#5)
• Possibility to skip initial benchmark (#6)
• Assertion error during apply_symmetry (#7)
• Checkpoint evaluation randomly fails (#8)
• MDP Version (#9)
• Suggestion: replace Oracle with just a function (#10)
• @unimplemented (#11)
• Some issues with installing the package (#12)
• Register package with General registry (#13)
• Missing repository's website (#16)
• fail to explore (#17)
• CuDNN error (#18)
• using AlphaZero (#19)
• UndefVarError: lib not defined (#20)
• LoadError: CUBLASError (#21)
• Error building Knet (#22)
• LoadError: InitError: CUDA.jl does not yet support CUDA with nvdisasm 11.1.74; (#23)
• CuDNN error 8 on Ubuntu 18.04, Julia 1.5.2 (#24)
• Stateful Game-structs throw errors (#25)
• LSTM support (#28)
• CUDA vs CUDAnative? (#29)
• Embed trained network in javascript web app for browser-based inference? (#30)
• Connect Four iteration training time is taking a long time (#31)
• Question about symmetries (#32)
• Question about function test_symmetry (#33)
• Migrate neural net agents across AlphaZero.jl instances? (#34)
• Can a game know its players' types? (#35)
• Exploit several CPU (#36)
• Exploit multiple GPUs (#37)
• Enumerating actions without state (#38)
• fatal: Remote branch v0.4.0 not found in upstream origin (#39)

Merged pull requests:

• Mancala (#42) (@michelangelo21)