[doc] fix: actor_rollout_ref.critic is not correct (#3778)

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They should start directly with `critic`

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Signed-off-by: Hollow Man <hollowman@opensuse.org>

docker/Dockerfile.rocm7

@@ -1,7 +1,7 @@
 # default base image
 ARG REMOTE_VLLM="1"
 ARG COMMON_WORKDIR=/app
-ARG BASE_IMAGE=rocm/vllm-dev:base_rocm7_0930_rc1_20250916_tuned_20250917
+ARG BASE_IMAGE=rocm/vllm-dev:base
 
 FROM ${BASE_IMAGE} AS base
 
@@ -104,7 +104,7 @@ ARG COMMON_WORKDIR
 COPY --from=export_vllm /benchmarks ${COMMON_WORKDIR}/vllm/benchmarks
 COPY --from=export_vllm /examples ${COMMON_WORKDIR}/vllm/examples
 
-ENV RAY_EXPERIMENTAL_NOSET_ROCR_VISIBLE_DEVICES=1
+ENV RAY_EXPERIMENTAL_NOSET_HIP_VISIBLE_DEVICES=1
 ENV TOKENIZERS_PARALLELISM=false
 
 # ENV that can improve safe tensor loading, and end-to-end time
@@ -115,6 +115,8 @@ ENV HIP_FORCE_DEV_KERNARG=1
 
 # -----------------------
 # Install verl
+ARG VERL_REPO=https://github.com/volcengine/verl.git
+ARG VERL_BRANCH=main
 RUN pip install "tensordict==0.6.2" --no-deps && \
     pip install accelerate \
     codetiming \
@@ -133,8 +135,9 @@ RUN pip install "tensordict==0.6.2" --no-deps && \
     pybind11
 
 WORKDIR /workspace/
-RUN git clone https://github.com/volcengine/verl.git && \
+RUN git clone ${VERL_REPO} && \
     cd verl && \
+    git checkout ${VERL_BRANCH} && \
     pip install -e .
 
 CMD ["/bin/bash"]

docs/algo/ppo.md

@@ -33,7 +33,7 @@ Most critic configs are similar to those of actors. Note that the critic model i
 
 - `actor_rollout_ref.actor.ppo_mini_batch_size`: The set of sampled trajectories is split into multiple mini-batches with batch_size=ppo_mini_batch_size for PPO actor updates. The ppo_mini_batch_size is a global size across all workers
 
-- `actor_rollout_ref.critic.ppo_mini_batch_size`: The set of sampled trajectories is split into multiple mini-batches with batch_size=ppo_mini_batch_size for PPO critic updates. The ppo_mini_batch_size is a global size across all workers
+- `critic.ppo_mini_batch_size`: The set of sampled trajectories is split into multiple mini-batches with batch_size=ppo_mini_batch_size for PPO critic updates. The ppo_mini_batch_size is a global size across all workers
 
 - `actor_rollout_ref.actor.clip_ratio`: The PPO clip range. Default to 0.2
 

examples/ppo_trainer/README.md

@@ -31,7 +31,7 @@ Most critic configs are similar to those of actors. Note that the critic model i
 
 - `actor_rollout_ref.actor.ppo_mini_batch_size`: The set of sampled trajectories is split into multiple mini-batches with batch_size=ppo_mini_batch_size for PPO actor updates. The ppo_mini_batch_size is a global size across all workers
 
-- `actor_rollout_ref.critic.ppo_mini_batch_size`: The set of sampled trajectories is split into multiple mini-batches with batch_size=ppo_mini_batch_size for PPO critic updates. The ppo_mini_batch_size is a global size across all workers
+- `critic.ppo_mini_batch_size`: The set of sampled trajectories is split into multiple mini-batches with batch_size=ppo_mini_batch_size for PPO critic updates. The ppo_mini_batch_size is a global size across all workers
 
 - `actor_rollout_ref.actor.clip_ratio`: The PPO clip range. Default to 0.2
 

recipe/dapo/run_dapo_qwen3_moe_30b_megatron_npu.sh

@@ -107,7 +107,6 @@ ray job submit --no-wait --runtime-env="${RUNTIME_ENV}" \
     +actor_rollout_ref.model.override_config.embd_pdrop=0. \
     +actor_rollout_ref.model.override_config.resid_pdrop=0. \
     actor_rollout_ref.actor.optim.lr=1e-6 \
-    +actor_rollout_ref.critic.optim.lr=5e-8 \
     actor_rollout_ref.actor.optim.lr_warmup_steps=10 \
     actor_rollout_ref.actor.ppo_mini_batch_size=${train_prompt_mini_bsz} \
     actor_rollout_ref.actor.megatron.param_offload=${offload} \