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TorchCraftAI
A bot for machine learning research on StarCraft: Brood War
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TorchCraftAI
A bot for machine learning research on StarCraft: Brood War
|
This is the complete list of members for cpid::Trainer, including all inherited members.
| activeMapMutex_ | cpid::Trainer | protected |
| actives_ | cpid::Trainer | protected |
| batcher_ | cpid::Trainer | protected |
| cast(ReplayBuffer::Episode const &e) | cpid::Trainer | inlineprotected |
| done_ | cpid::Trainer | protected |
| epGuard_ | cpid::Trainer | protected |
| evaluatorFactory(ag::Container model, std::unique_ptr< BaseSampler > s, size_t n, ForwardFunction func) | cpid::Trainer | protectedstatic |
| forceStopEpisode(EpisodeHandle const &) | cpid::Trainer | virtual |
| forward(ag::Variant inp, EpisodeHandle const &) | cpid::Trainer | virtual |
| ForwardFunction typedef | cpid::Trainer | protected |
| forwardUnbatched(ag::Variant in, ag::Container model=nullptr) | cpid::Trainer | |
| is() const | cpid::Trainer | inline |
| isActive(EpisodeHandle const &) | cpid::Trainer | |
| isDone() const | cpid::Trainer | inline |
| isTrain() const | cpid::Trainer | inline |
| kFwdMetricsSubsampling | cpid::Trainer | protectedstatic |
| load(Archive &ar) | cpid::Trainer | inline |
| makeEvaluator(size_t, std::unique_ptr< BaseSampler > sampler) | cpid::Trainer | virtual |
| makeFrame(ag::Variant trainerOutput, ag::Variant state, float reward)=0 | cpid::Trainer | pure virtual |
| metricsContext() const | cpid::Trainer | inline |
| metricsContext_ | cpid::Trainer | protected |
| model() const | cpid::Trainer | |
| model_ | cpid::Trainer | protected |
| modelWriteMutex_ | cpid::Trainer | protected |
| optim() const | cpid::Trainer | |
| optim_ | cpid::Trainer | protected |
| replayBuffer() | cpid::Trainer | |
| replayer_ | cpid::Trainer | protected |
| reset() | cpid::Trainer | virtual |
| sample(ag::Variant in) | cpid::Trainer | |
| sampler_ | cpid::Trainer | protected |
| save(Archive &ar) const | cpid::Trainer | inline |
| setBatcher(std::unique_ptr< AsyncBatcher > batcher) | cpid::Trainer | |
| setDone(bool=true) | cpid::Trainer | |
| setMetricsContext(std::shared_ptr< MetricsContext > context) | cpid::Trainer | inline |
| setTrain(bool=true) | cpid::Trainer | |
| startEpisode() | cpid::Trainer | virtual |
| step(EpisodeHandle const &, std::shared_ptr< ReplayBufferFrame > v, bool isDone=false) | cpid::Trainer | virtual |
| stepEpisode(GameUID const &, EpisodeKey const &, ReplayBuffer::Episode &) | cpid::Trainer | inlineprotectedvirtual |
| stepFrame(GameUID const &, EpisodeKey const &, ReplayBuffer::Episode &) | cpid::Trainer | inlineprotectedvirtual |
| stepGame(GameUID const &game) | cpid::Trainer | inlineprotectedvirtual |
| TORCH_ARG(float, noiseStd) | cpid::Trainer | |
| TORCH_ARG(bool, continuousActions) | cpid::Trainer | |
| train_ | cpid::Trainer | protected |
| Trainer(ag::Container model, ag::Optimizer optim, std::unique_ptr< BaseSampler >, std::unique_ptr< AsyncBatcher > batcher=nullptr) | cpid::Trainer | |
| update()=0 | cpid::Trainer | pure virtual |
| ~Trainer()=default | cpid::Trainer | virtual |
1.8.11
