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Author	SHA1	Message	Date
Arthur DANJOU	aabb297d4f	Add TP4 about AI Agents	2026-03-04 18:26:00 +01:00
Arthur DANJOU	63ebb3ec8d	Enhance Monte Carlo agent with performance optimizations and memory efficiency ... - Updated weight and feature storage to use float32 for reduced memory bandwidth. - Implemented compact storage for raw observations as uint8, batch-normalized at episode end. - Introduced vectorized return computation and chunk-based weight updates using einsum. - Reduced weight sanitization to once per episode instead of per-step. - Refactored action selection and return calculation for improved efficiency.	2026-03-04 18:25:43 +01:00
Arthur DANJOU	4bfae564ed	Implement feature X to enhance user experience and optimize performance	2026-03-04 17:21:34 +01:00

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