hiro/ray
1
0
Fork 0
mirror of https://github.com/vale981/ray synced 2025-03-09 12:56:46 -04:00
Code Issues Projects Releases Packages Wiki Activity Actions
ray/rllib/agents/sac/README.md

9 lines
399 B
Markdown
Raw Normal View History

[RLlib] SAC add discrete action support. (#7320) * 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. * update. * WIP. * Gumbel Softmax Dist. * WIP. * WIP. * WIP. * WIP. * WIP. * WIP. * WIP * WIP. * WIP. * Hypertune. * Hypertune. * Hypertune. * Lock-in. * Cleanup. * LINT. * Fix. * Update rllib/policy/eager_tf_policy.py Co-Authored-By: Kristian Hartikainen <kristian.hartikainen@gmail.com> * Update rllib/agents/sac/sac_policy.py Co-Authored-By: Kristian Hartikainen <kristian.hartikainen@gmail.com> * Update rllib/agents/sac/sac_policy.py Co-Authored-By: Kristian Hartikainen <kristian.hartikainen@gmail.com> * Update rllib/models/tf/tf_action_dist.py Co-Authored-By: Kristian Hartikainen <kristian.hartikainen@gmail.com> * Update rllib/models/tf/tf_action_dist.py Co-Authored-By: Kristian Hartikainen <kristian.hartikainen@gmail.com> * Fix items from review comments. * Add dm_tree to RLlib dependencies. * Add dm_tree to RLlib dependencies. * Fix DQN test cases ((Torch)Categorical). * Fix wrong pip install. Co-authored-by: Eric Liang <ekhliang@gmail.com> Co-authored-by: Kristian Hartikainen <kristian.hartikainen@gmail.com>
2020-03-06 19:37:12 +01:00
Implementation of the Soft Actor-Critic algorithm:
[RLlib] Attention Net integration into ModelV2 and learning RL example. (#8371)
2020-05-18 17:26:40 +02:00
[1] Soft Actor-Critic Algorithms and Applications - T. Haarnoja, A. Zhou, K. Hartikainen, et al.
[RLlib] SAC add discrete action support. (#7320) * 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. * update. * WIP. * Gumbel Softmax Dist. * WIP. * WIP. * WIP. * WIP. * WIP. * WIP. * WIP * WIP. * WIP. * Hypertune. * Hypertune. * Hypertune. * Lock-in. * Cleanup. * LINT. * Fix. * Update rllib/policy/eager_tf_policy.py Co-Authored-By: Kristian Hartikainen <kristian.hartikainen@gmail.com> * Update rllib/agents/sac/sac_policy.py Co-Authored-By: Kristian Hartikainen <kristian.hartikainen@gmail.com> * Update rllib/agents/sac/sac_policy.py Co-Authored-By: Kristian Hartikainen <kristian.hartikainen@gmail.com> * Update rllib/models/tf/tf_action_dist.py Co-Authored-By: Kristian Hartikainen <kristian.hartikainen@gmail.com> * Update rllib/models/tf/tf_action_dist.py Co-Authored-By: Kristian Hartikainen <kristian.hartikainen@gmail.com> * Fix items from review comments. * Add dm_tree to RLlib dependencies. * Add dm_tree to RLlib dependencies. * Fix DQN test cases ((Torch)Categorical). * Fix wrong pip install. Co-authored-by: Eric Liang <ekhliang@gmail.com> Co-authored-by: Kristian Hartikainen <kristian.hartikainen@gmail.com>
2020-03-06 19:37:12 +01:00
https://arxiv.org/abs/1812.05905.pdf
For supporting discrete action spaces, we implemented this patch on top of the original algorithm:
[2] Soft Actor-Critic for Discrete Action Settings - Petros Christodoulou
https://arxiv.org/pdf/1910.07207v2.pdf
Reference in a new issue Copy permalink