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PrimeIntellect-ai / prime-rl Public

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WIP: Support per-agent rewards in multi-agent setups#2575

Draft

nph4rd wants to merge 16 commits into

PrimeIntellect-ai:mainPrimeIntellect-ai/prime-rl:mainfrom

nph4rd:multiagent-heterogeneous-rewardsnph4rd/prime-rl:multiagent-heterogeneous-rewardsCopy head branch name to clipboard

Conversation Commits16 (16)Checks Files changed

Draft

WIP: Support per-agent rewards in multi-agent setups#2575
nph4rd wants to merge 16 commits into
PrimeIntellect-ai:mainfrom
nph4rd:multiagent-heterogeneous-rewards

Commits

Commits on May 20, 2026

support per-agent rewards from multi-agent environments
nph4rd
committed
point verifiers to multiagent-heterogeneous-rewards branch
nph4rd
committed
log per-agent rewards to wandb for multi-agent environments
nph4rd
committed
revert agent_rewards logging, now handled via metrics
nph4rd
committed
compute per-agent grpo advantages for multi-agent environments
nph4rd
committed
respect per-step is_trainable flag in interleave_rollout
nph4rd
committed
add multi-agent lora support for per-agent policy training
nph4rd
committed
split merged multi-agent samples by agent for per-agent lora training
nph4rd
committed
fix multi-agent lora orch.toml and add pack_full_step
nph4rd
committed
enforce async level in multi-actor policy updates
nph4rd
committed
auto-set max_concurrent_runs and fix packer timeout for multi-agent lora
nph4rd
committed
use upstream dedup pattern for multi-actor policy updates
nph4rd
committed
honor per-step advantages in ZeroAdvantageFilter for multi-agent rollouts
nph4rd
committed
emit per-agent trainer metrics alongside per-env breakdowns
nph4rd
committed
drop deps/verifiers from workspace members; conflicts with git source override
nph4rd
committed
re-leaf orchestrator output_dir to outputs/orchestrator under multi_agent_lora
nph4rd
committed

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