reinforcement-learning

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• I had searched in the issues and found no similar feature requirement.

Description

Currently users sees

(pid=3979) 2021-10-06 10:37:25,982	WARNING backend_state.py:996 -- Backend 'AAA' has 1 replicas that have taken more than 30s to start up. This may be caused by waiting for the cluster to auto-scale or beca

There’s a class of options, including cb_type, that should be defined as follows:

      .add(make_option("cb_type", type_string)
               .keep()
               .one_of(“ips”, “dr”, “mtr”)
               .help("contextual bandit method to use in {ips,dr,mtr}. Default: mtr"));

This way we can bake in a validation step on the parser from one of the pre-defined options. T

Is there a way to train a bidirectional RNN (like LSTM or GRU) on trax nowadays?

The following applies to DDPG and TD3, and possibly other models. The following libraries were installed in a virtual environment:

numpy==1.16.4
stable-baselines==2.10.0
gym==0.14.0
tensorflow==1.14.0

Episode rewards do not seem to be updated in model.learn() before callback.on_step(). Depending on which callback.locals variable is used, this means that:

• episode rewards may n