ray/rllib/agents/pg/__init__.py

from ray.rllib.agents.pg.pg import PGTrainer, DEFAULT_CONFIG
from ray.rllib.agents.pg.pg_tf_policy import pg_tf_loss, \
    post_process_advantages
from ray.rllib.agents.pg.pg_torch_policy import pg_torch_loss

__all__ = [
    "PGTrainer", "pg_tf_loss", "pg_torch_loss", "post_process_advantages",
    "DEFAULT_CONFIG"
]
[rllib] Rename Agent to Trainer (#4556) 2019-04-07 00:36:18 -07:00			`from ray.rllib.agents.pg.pg import PGTrainer, DEFAULT_CONFIG`
PG unify/cleanup tf vs torch and PG functionality test cases (tf + torch). (#6650) * Unifying the code for PGTrainer/Policy wrt tf vs torch. Adding loss function test cases for the PGAgent (confirm equivalence of tf and torch). * Fix LINT line-len errors. * Fix LINT errors. * Fix `tf_pg_policy` imports (formerly: `pg_policy`). * Rename tf_pg_... into pg_tf_... following <alg>_<framework>_... convention, where ...=policy/loss/agent/trainer. Retire `PGAgent` class (use PGTrainer instead). * - Move PG test into agents/pg/tests directory. - All test cases will be located near the classes that are tested and then built into the Bazel/Travis test suite. * Moved post_process_advantages into pg.py (from pg_tf_policy.py), b/c the function is not a tf-specific one. * Fix remaining import errors for agents/pg/... * Fix circular dependency in pg imports. * Add pg tests to Jenkins test suite. 2020-01-02 19:08:03 -05:00			`from ray.rllib.agents.pg.pg_tf_policy import pg_tf_loss, \`
			`post_process_advantages`
			`from ray.rllib.agents.pg.pg_torch_policy import pg_torch_loss`
[rllib] Document "v2" APIs (#2316) * 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
[rllib] [experimental] custom RL training pipelines (PG_pl, A2C_pl) (#7213) 2020-02-19 16:07:37 -08:00			`__all__ = [`
			`"PGTrainer", "pg_tf_loss", "pg_torch_loss", "post_process_advantages",`
[rllib] Support multi-agent training in pipeline impls, add easy flag to enable (#7338) 2020-03-02 15:16:37 -08:00			`"DEFAULT_CONFIG"`
[rllib] [experimental] custom RL training pipelines (PG_pl, A2C_pl) (#7213) 2020-02-19 16:07:37 -08:00			`]`