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v0.1
ml-agents/ml-agents/mlagents/trainers/components/reward_signals
GitHub
689765d6
Modification of reward signals and rl_trainer for SAC (#2433)
* Adds evaluate_batch to reward signals. Evaluates on minibatch rather than on BrainInfo. * Changes the way reward signal results are reported in rl_trainer so that we get the pure, unprocessed environment reward separate from the reward signals. * Moves end_episode to rl_trainer * Fixed bug with BCModule with RNN |
5 年前 | |
|---|---|---|
| .. | ||
| curiosity | Modification of reward signals and rl_trainer for SAC (#2433) | 5 年前 |
| extrinsic | Modification of reward signals and rl_trainer for SAC (#2433) | 5 年前 |
| gail | Modification of reward signals and rl_trainer for SAC (#2433) | 5 年前 |
| __init__.py | Refactor reward signals into separate class (#2144) | 5 年前 |
| reward_signal.py | Modification of reward signals and rl_trainer for SAC (#2433) | 5 年前 |
| reward_signal_factory.py | Update reward signals in parallel with policy (#2362) | 5 年前 |