mirror of
https://github.com/vale981/ray
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0db2046b0a
* Exploration API (+EpsilonGreedy sub-class). * Exploration API (+EpsilonGreedy sub-class). * Cleanup/LINT. * Add `deterministic` to generic Trainer config (NOTE: this is still ignored by most Agents). * Add `error` option to deprecation_warning(). * WIP. * Bug fix: Get exploration-info for tf framework. Bug fix: Properly deprecate some DQN config keys. * WIP. * LINT. * WIP. * Split PerWorkerEpsilonGreedy out of EpsilonGreedy. Docstrings. * Fix bug in sampler.py in case Policy has self.exploration = None * Update rllib/agents/dqn/dqn.py Co-Authored-By: Eric Liang <ekhliang@gmail.com> * WIP. * Update rllib/agents/trainer.py Co-Authored-By: Eric Liang <ekhliang@gmail.com> * WIP. * Change requests. * LINT * In tune/utils/util.py::deep_update() Only keep deep_updat'ing if both original and value are dicts. If value is not a dict, set * Completely obsolete syn_replay_optimizer.py's parameters schedule_max_timesteps AND beta_annealing_fraction (replaced with prioritized_replay_beta_annealing_timesteps). * Update rllib/evaluation/worker_set.py Co-Authored-By: Eric Liang <ekhliang@gmail.com> * Review fixes. * Fix default value for DQN's exploration spec. * LINT * Fix recursion bug (wrong parent c'tor). * Do not pass timestep to get_exploration_info. * Update tf_policy.py * Fix some remaining issues with test cases and remove more deprecated DQN/APEX exploration configs. * Bug fix tf-action-dist * DDPG incompatibility bug fix with new DQN exploration handling (which is imported by DDPG). * Switch off exploration when getting action probs from off-policy-estimator's policy. * LINT * Fix test_checkpoint_restore.py. * Deprecate all SAC exploration (unused) configs. * Properly use `model.last_output()` everywhere. Instead of `model._last_output`. * WIP. * Take out set_epsilon from multi-agent-env test (not needed, decays anyway). * WIP. * Trigger re-test (flaky checkpoint-restore test). * WIP. * WIP. * Add test case for deterministic action sampling in PPO. * bug fix. * Added deterministic test cases for different Agents. * Fix problem with TupleActions in dynamic-tf-policy. * Separate supported_spaces tests so they can be run separately for easier debugging. * LINT. * Fix autoregressive_action_dist.py test case. * Re-test. * Fix. * Remove duplicate py_test rule from bazel. * LINT. * WIP. * WIP. * SAC fix. * SAC fix. * WIP. * WIP. * WIP. * FIX 2 examples tests. * WIP. * WIP. * WIP. * WIP. * WIP. * Fix. * LINT. * Renamed test file. * WIP. * Add unittest.main. * Make action_dist_class mandatory. * fix * FIX. * WIP. * WIP. * Fix. * Fix. * Fix explorations test case (contextlib cannot find its own nullcontext??). * Force torch to be installed for QMIX. * LINT. * Fix determine_tests_to_run.py. * Fix determine_tests_to_run.py. * WIP * Add Random exploration component to tests (fixed issue with "static-graph randomness" via py_function). * Add Random exploration component to tests (fixed issue with "static-graph randomness" via py_function). * Rename some stuff. * Rename some stuff. * WIP. * WIP. * Fix SAC. * Fix SAC. * Fix strange tf-error in ray core tests. * Fix strange ray-core tf-error in test_memory_scheduling test case. * Fix test_io.py. * LINT. * Update SAC yaml files' config. Co-authored-by: Eric Liang <ekhliang@gmail.com> |
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|---|---|---|
| .. | ||
| export | ||
| serving | ||
| __init__.py | ||
| autoregressive_action_dist.py | ||
| batch_norm_model.py | ||
| cartpole_lstm.py | ||
| centralized_critic.py | ||
| centralized_critic_2.py | ||
| custom_env.py | ||
| custom_eval.py | ||
| custom_fast_model.py | ||
| custom_keras_cnn_plus_rnn_model.py | ||
| custom_keras_model.py | ||
| custom_keras_rnn_model.py | ||
| custom_loss.py | ||
| custom_metrics_and_callbacks.py | ||
| custom_tf_policy.py | ||
| custom_torch_policy.py | ||
| custom_train_fn.py | ||
| dmlab_watermaze.py | ||
| eager_execution.py | ||
| hierarchical_training.py | ||
| multi_agent_cartpole.py | ||
| multi_agent_custom_policy.py | ||
| multi_agent_two_trainers.py | ||
| parametric_action_cartpole.py | ||
| random_env.py | ||
| rock_paper_scissors_multiagent.py | ||
| rollout_worker_custom_workflow.py | ||
| saving_experiences.py | ||
| twostep_game.py | ||