dqn-production.toml batch_size=8192 was overriding GPU profile batch_size=64 on RTX 3050 via apply_to(), causing OOM/hang. GPU profile is the sole authority for batch_size — training profile controls learning params only. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
14 lines
270 B
TOML
14 lines
270 B
TOML
# RTX 3050 Ti (4GB VRAM) -- minimal footprint
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[training]
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batch_size = 64
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num_atoms = 11
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buffer_size = 0 # 0 = auto from VRAM
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hidden_dim_base = 256
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replay_buffer_vram_fraction = 0.40
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[experience]
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gpu_timesteps_per_episode = 100
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[cuda]
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cuda_stack_bytes = 16384 # 16KB
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