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Author: Phil Wang
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: 0.0.7
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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