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License:
MIT License Copyright (c) 2026 Phil Wang Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in...
Summary:
Maximum a Posteriori Policy Optimization and Related Algorithms
Latest version:
0.0.6
Required dependencies:
accelerate
|
discrete-continuous-embed-readout
|
einops
|
gymnasium
|
memmap-replay-buffer
|
torch
|
torch-einops-utils
|
tqdm
|
x-mlps-pytorch
|
x-transformers
Optional dependencies:
pytest
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