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v0.1
ml-agents/ml-agents/mlagents/trainers/components/reward_signals
GitHub
213cd68d
Split Buffer into processing and update buffers (#2964)
This is the first in a series of PRs that intend to move the agent processing logic (add_experiences and process_experiences) out of the trainer and into a separate class. The plan is to do so in steps: - Split the processing buffers (keeping track of agent trajectories and assembling trajectories) and update buffer (complete trajectories to be used for training) within the Trainer (this PR) - Move the processing buffer and add/process experiences into a separate, outside class - Change the data type of the update buffer to be a Trajectory - Place and read Trajectories from queues, add subscription mechanism for both AgentProcessor and Trainers |
5 年前 | |
|---|---|---|
| .. | ||
| curiosity | Develop remove past action communication (#2913) | 5 年前 |
| extrinsic | check for numpy float64 (#2948) | 5 年前 |
| gail | Split Buffer into processing and update buffers (#2964) | 5 年前 |
| __init__.py | check for numpy float64 (#2948) | 5 年前 |
| reward_signal_factory.py | Fix flake8 import warnings (#2584) | 5 年前 |