Fix typos, add more links to README
@@ -15,12 +15,12 @@ should apply to any of the agents and environment combinations below.
These include a number of agents running on the [dm_control] suite of continuous
control tasks:
-- `run_d4pg`: a deterministic policy gradient (D4PG) agent which includes a
+- [`run_d4pg`](control_suite/run_d4pg.py): a deterministic policy gradient (D4PG) agent which includes a
determinstic policy and a distributional critic.
-- `run_dmpo`: a maximum-a-posterior policy optimization agent which combines
+- [`run_dmpo`](control_suite/run_dmpo.py): a maximum-a-posterior policy optimization agent which combines
both a distributional critic and a stochastic policy.
-Note that these examples require a MuJoCo license in order to run. See our
+Note that these examples require a [MuJoCo license](https://www.roboti.us/license.html) in order to run. See our
[tutorial] for more details or see the [dm_control] repository for further
information.
@@ -30,18 +30,18 @@ information.
We also include simple baselines across the [bsuite] set of tasks:
-- `run_dqn`: an off-policy DQN examples; and
-- `run_impala`: an (on-policy) Impala agent;
+- [`run_dqn`](bsuite/run_dqn.py): an off-policy DQN examples; and
+- [`run_impala`](bsuite/run_impala.py): an (on-policy) Impala agent;
Finally we also include an example using demonstrations:
-- `run_dqfd`: the DQfD agent running on hard-exploration tasks within bsuite
+- [`run_dqfd`](bsuite/run_dqfd.py): the DQfD agent running on hard-exploration tasks within bsuite
(e.g. deep sea) using demonstration data; and
-- `run_bc`: a behaviour cloining agent.
+- [`run_bc`](bsuite/run_bc.py): a behaviour cloning agent.
as well as a model-based example:
-- `run_mcts`: the MCTS agent running on the task suite using either a
+- [`run_mcts`](bsuite/run_mcts.py): the MCTS agent running on the task suite using either a
simulator of the environment or a learned model.
[bsuite]: https://github.com/deepmind/bsuite
