Eric Liang
07d8cbf414
[rllib] Support batch norm layers ( #3369 )
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* batch norm
* lint
* fix dqn/ddpg update ops
* bn model
* Update tf_policy_graph.py
* Update multi_gpu_impl.py
* Apply suggestions from code review
Co-Authored-By: ericl <ekhliang@gmail.com>
2018-11-29 13:33:39 -08:00
Eric Liang
f0df97db6f
[rllib] example and docs on how to use parametric actions with DQN / PG algorithms ( #3384 )
2018-11-27 23:35:19 -08:00
Eric Liang
d90f365394
[rllib] Add self-supervised loss to model ( #3291 )
...
# What do these changes do?
Allow self-supervised losses to be easily defined in custom models. Add this to the reference policy graphs.
2018-11-12 18:55:24 -08:00
Eric Liang
a221f55b0d
[rllib] Add custom value functions, fix up and document multi-agent variable sharing ( #3151 )
2018-10-29 19:37:27 -07:00
Eric Liang
59901a88a0
[rllib] Native support for Dict and Tuple spaces; fix Tuple action spaces; add prev a, r to LSTM ( #3051 )
2018-10-20 15:21:22 -07:00
Eric Liang
a9e454f6fd
[rllib] Include config dicts in the sphinx docs ( #3064 )
2018-10-16 15:55:11 -07:00
Eric Liang
b45bed4bce
[rllib] Propagate model options correctly in ARS / ES, to action dist of PPO ( #2974 )
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* fix
* fix
* fix it
* propagate conf to action dist
* move carla example too
* rr
* Update policies.py
* wip
* lint
2018-10-01 12:49:39 -07:00
Eric Liang
814c35b7d7
[rllib] Simplify sample batch size and num envs config, n_step adjustment ( #2995 )
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* simplify vec batch requirements
* Update rllib-training.rst
* Update rllib-training.rst
* Update rllib-training.rst
* Update rllib-training.rst
* Update rllib-training.rst
* Update rllib-models.rst
2018-09-30 18:36:22 -07:00
Eric Liang
fbe6c59f72
[rllib] Misc fixes, A2C ( #2679 )
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A bunch of minor rllib fixes:
pull in latest baselines atari wrapper changes (and use deepmind wrapper by default)
move reward clipping to policy evaluator
add a2c variant of a3c
reduce vision network fc layer size to 256 units
switch to 84x84 images
doc tweaks
print timesteps in tune status
2018-08-20 15:28:03 -07:00
Eric Liang
5f430da180
[rllib] Provide internal access to episode state in compute_actions() and allow returning extra batches ( #2559 )
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The goal of this PR is to allow custom policies to perform model-based rollouts. In the multi-agent setting, this requires access to not only policies of other agents, but also their current observations.
Also, you might want to return the model-based trajectories as part of the rollout for efficiency.
compute_actions() now takes a new keyword arg episodes
pull out internal episode class into a top-level file
add function to return extra trajectories from an episode that will be appended to the sample batch
documentation
2018-08-16 14:37:21 -07:00
Sergey Kolesnikov
05490b8cb9
[rllib] dqn/ddpg policy customization ( #2445 )
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* dqn policy update - more customization
* docs for custom DQN graph
* Update rllib-training.rst
* Update rllib-models.rst
* Update rllib.rst
* Update rllib-training.rst
* Update rllib-concepts.rst
* yapf codestyle
2018-07-22 14:47:14 -07:00
Eric Liang
d24f19fd1e
[rllib] Fix stats collection and some docs bugs since the refactoring ( #2361 )
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* fix
* fix pbt example
* fix
* fix
* single thread by default
* vec
* fix
* fix
2018-07-07 13:29:20 -07:00
Eric Liang
8aa56c12e6
[rllib] Document "v2" APIs ( #2316 )
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* re
* wip
* wip
* a3c working
* torch support
* pg works
* lint
* rm v2
* consumer id
* clean up pg
* clean up more
* fix python 2.7
* tf session management
* docs
* dqn wip
* fix compile
* dqn
* apex runs
* up
* impotrs
* ddpg
* quotes
* fix tests
* fix last r
* fix tests
* lint
* pass checkpoint restore
* kwar
* nits
* policy graph
* fix yapf
* com
* class
* pyt
* vectorization
* update
* test cpe
* unit test
* fix ddpg2
* changes
* wip
* args
* faster test
* common
* fix
* add alg option
* batch mode and policy serving
* multi serving test
* todo
* wip
* serving test
* doc async env
* num envs
* comments
* thread
* remove init hook
* update
* fix ppo
* comments1
* fix
* updates
* add jenkins tests
* fix
* fix pytorch
* fix
* fixes
* fix a3c policy
* fix squeeze
* fix trunc on apex
* fix squeezing for real
* update
* remove horizon test for now
* multiagent wip
* update
* fix race condition
* fix ma
* t
* doc
* st
* wip
* example
* wip
* working
* cartpole
* wip
* batch wip
* fix bug
* make other_batches None default
* working
* debug
* nit
* warn
* comments
* fix ppo
* fix obs filter
* update
* wip
* tf
* update
* fix
* cleanup
* cleanup
* spacing
* model
* fix
* dqn
* fix ddpg
* doc
* keep names
* update
* fix
* com
* docs
* clarify model outputs
* Update torch_policy_graph.py
* fix obs filter
* pass thru worker index
* fix
* rename
* vlad torch comments
* fix log action
* debug name
* fix lstm
* remove unused ddpg net
* remove conv net
* revert lstm
* wip
* wip
* cast
* wip
* works
* fix a3c
* works
* lstm util test
* doc
* clean up
* update
* fix lstm check
* move to end
* fix sphinx
* fix cmd
* remove bad doc
* envs
* vec
* doc prep
* models
* rl
* alg
* up
* clarify
* copy
* async sa
* fix
* comments
* fix a3c conf
* tune lstm
* fix reshape
* fix
* back to 16
* tuned a3c update
* update
* tuned
* optional
* merge
* wip
* fix up
* move pg class
* rename env
* wip
* update
* tip
* alg
* readme
* fix catalog
* readme
* doc
* context
* remove prep
* comma
* add env
* link to paper
* paper
* update
* rnn
* update
* wip
* clean up ev creation
* fix
* fix
* fix
* fix lint
* up
* no comma
* ma
* Update run_multi_node_tests.sh
* fix
* sphinx is stupid
* sphinx is stupid
* clarify torch graph
* no horizon
* fix config
* sb
* Update test_optimizers.py
2018-07-01 00:05:08 -07:00
