d5604eaba3
[RLlib] Attention nets PyTorch support and cleanup (using traj. view API). ( #12029 )
2020-12-21 18:38:34 -08:00
e40b14d255
[RLlib] Batch-size for truncate_episode batch_mode should be confgurable in agent-steps (rather than env-steps), if needed. ( #12420 )
2020-12-08 16:41:45 -08:00
6e6c680f14
MBMPO Cartpole ( #11832 )
...
* MBMPO Cartpole Done
* Added doc
2020-11-12 10:30:41 -08:00
8ea1bc5ff9
[RLlib] Allow for more than 2^31 policy timesteps. ( #11301 )
2020-10-12 13:49:11 -07:00
ce96b03b07
[RLlib] MB-MPO cleanup (comments, docstrings, type annotations). ( #11033 )
2020-10-06 20:28:16 +02:00
36bda8432b
[RLlib] Trajectory view API: Simple List Collector (on by default for PPO); LSTM-agnostic ( #11056 )
2020-10-01 16:57:10 +02:00
8e613652af
[RLLib] MBMPO Fixes ( #10296 )
2020-09-09 09:34:34 +02:00
4e9888ce2f
[RLlib] Dreamer ( #10172 )
2020-08-26 13:24:05 +02:00
48a39d7cb9
[RLlib] Deepmind Control Suite Examples ( #9751 )
2020-08-23 12:53:08 +02:00
e968b52cb7
[RLlib] Trajectory view API - 03 Fast LSTM + prev actions/rewards ( #9950 )
2020-08-21 12:35:16 +02:00
8e76796fd0
ci: Redo format.sh --all script & backfill lint fixes ( #9956 )
2020-08-07 16:49:49 -07:00
4d7bd8c892
[RLlib] Implementation of "Model-based Meta Policy Optimization" (MB MPO) ( #9409 )
2020-08-02 18:12:09 +02:00
b0b0463161
[RLlib] Trajectory View API (preparatory cleanup and enhancements). ( #9678 )
2020-07-29 21:15:09 +02:00
e6ea33a03c
[RLlib] Enhance reward clipping test; add action_clipping tests. ( #9684 )
2020-07-28 10:44:54 +02:00
5dc4b6686e
[RLlib] Implement DQN PyTorch distributional head. ( #9589 )
2020-07-25 09:29:24 +02:00
851d02463b
[Doc] RLlib Algorithms Documentation: MAML + PyTorch MAML ( #9189 )
2020-07-03 11:05:15 -07:00
5b2a97597b
[RLlib] Retire try_import_tree (should be installed along with other requirements). ( #9211 )
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- Retire try_import_tree.
- Stabilize test_supported_multi_agent.py.
2020-07-02 13:06:34 +02:00
cf0894d396
[rllib] MAML Agent ( #8862 )
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* Halfway done with transferring MAML to new Ray
* MAML Beta Out
* Debugging MAML atm
* Distributed Execution
* Pendulum Mass Working
* All experiments complete
* Cleaned up codebase
* Travis CI
* Travis CI
* Tests
* Merged conflicts
* Fixed variance bug conflict
* Comment resolved
* Apply suggestions from code review
fixed test_maml
* Update rllib/agents/maml/tests/test_maml.py
* asdf
* Fix testing
Co-authored-by: Sven Mika <sven@anyscale.io >
2020-06-23 09:48:23 -07:00
14405b90d5
[RLlib] Prototype of a DynaTrainer (for env dynamics learning in upcoming MBMPO algo). ( #8860 )
2020-06-16 09:01:20 +02:00
be26a7b1b0
[rllib] Support for complex / variable-length observation spaces ( #8393 )
2020-06-06 12:22:19 +02:00
c74dc58f8b
[RLlib] Fix use_lstm flag for ModelV2 (w/o ModelV1 wrapping) and add it for PyTorch. ( #8734 )
2020-06-05 15:40:30 +02:00
d8a081a185
[RLlib] Unity3D integration (n Unity3D clients vs learning server). ( #8590 )
2020-05-30 22:48:34 +02:00
6d196197bc
[RLlib] utils/spaces ... ( #8608 )
2020-05-27 10:21:30 +02:00
796a834c48
[RLlib] Attention Net integration into ModelV2 and learning RL example. ( #8371 )
2020-05-18 17:26:40 +02:00
57544b1ff9
[RLlib] Examples folder restructuring (Model examples; final part). ( #8278 )
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- This PR completes any previously missing PyTorch Model counterparts to TFModels in examples/models.
- It also makes sure, all example scripts in the rllib/examples folder are tested for both frameworks and learn the given task (this is often currently not checked) using a --as-test flag in connection with a --stop-reward.
2020-05-12 08:23:10 +02:00
d7eaacb5fe
[RLlib] Issue 8319 DDPG (MA or num_envs_per_worker > 1) broken. ( #8324 )
2020-05-08 08:26:32 +02:00
5f278c6411
[RLlib] Examples folder restructuring (models) part 1 ( #8353 )
2020-05-08 08:20:18 +02:00
42991d723f
[RLlib] rllib/examples folder restructuring ( #8250 )
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Cleans up of the rllib/examples folder by moving all example Envs into rllibexamples/env (so they can be used by other scripts and tests as well).
2020-05-01 22:59:34 +02:00
Sven Mika