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README.md

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+---
+license: apache-2.0
+tags:
+- robotics
+- reinforcement-learning
+- discodemo
+- franka
+---
+
+# DiscoDemo-Stage1_RL-FMB_Round-alpha0
+
+The **data generator** of [DiscoDemo](https://davian-robotics.github.io/DiscoDemo/) for the **FMB-Round** task (insert a cylindrical peg into its hole on the FMB board): a state-based
+reinforcement-learning policy trained in simulation — the P-RFCL baseline generator (α = 0: the same reverse-curriculum RL without the diversity reward).
+Rolling it out generates demonstrations such as those in the Stage2 dataset below.
+
+| Stage | Repository |
+|---|---|
+| Generator (RL policy) | [`DAVIAN-Robotics/DiscoDemo-Stage1_RL-FMB_Round-alpha0`](https://huggingface.co/DAVIAN-Robotics/DiscoDemo-Stage1_RL-FMB_Round-alpha0) (this repository) |
+| Generated dataset | [`DAVIAN-Robotics/DiscoDemo-Stage2_GenData-FMB_Round-alpha0`](https://huggingface.co/datasets/DAVIAN-Robotics/DiscoDemo-Stage2_GenData-FMB_Round-alpha0) |
+| Imitation policy (π0.5) | [`DAVIAN-Robotics/DiscoDemo-Stage3_SFT-FMB_Round-alpha0`](https://huggingface.co/DAVIAN-Robotics/DiscoDemo-Stage3_SFT-FMB_Round-alpha0) |
+
+## Files
+
+| File | Content |
+|---|---|
+| `actor.pt` | Actor network weights (`network_state_dict`). Optimizer state is not included. |
+| `normalizer.pt` | Observation bounds used to normalize the policy input. |
+| `config.yaml` | Full training configuration (environment, curriculum, agent). |
+
+Only what is needed to roll the policy out is released; the critic and other training-only state are omitted.
+
+
+Environment steps at this checkpoint: 46.5 M.
+
+## Usage
+
+Loading requires the DiscoDemo training code: https://github.com/DAVIAN-Robotics/DiscoDemo.
+
+## Citation
+
+```bibtex
+@article{park2026discodemo,
+  title   = {DiscoDemo: Discovering Efficient and Diverse Robot Demonstrations for Imitation Learning},
+  author  = {Park, Minho and Kim, Kinam and Kim, Donghu and Lee, Byungkun and Hwang, Dongyoon and Shin, Yongjae and Hyung, Junha and Lee, Hojoon and Choo, Jaegul},
+  journal = {arXiv preprint},
+  year    = {2026}
+}
+```

actor.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:db33561e501f3161bb2ec2257938c3848be9370da23ae19ebc878e368a102deb
+size 1109185

config.yaml

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+project_name: DiscoDemo
+entity_name: null
+group_name: fmb_round
+exp_name: prfcl-fmb_round
+seed: 0
+logger_type: wandb
+save_path: libs/FlashSAC/models/fmb_round/prfcl-fmb_round/seed0-TIMESTAMP
+agent_load_path: null
+num_env_steps: 50000000
+num_train_envs: 2048
+updates_per_interaction_step: 128
+gamma: 0.99
+n_step: 8
+env:
+  workcell: libs/real2sim/assets/workcell.json
+  task: libs/real2sim/real2sim/tasks/fmb_round.py
+  env_version: fr3-fmb_round
+  gripper_lock: closed
+success_hold_steps: 20
+agent:
+  agent_type: flashSAC
+  seed: 0
+  device_type: cuda
+  buffer_max_length: 100000000
+  buffer_min_length: 5000
+  buffer_device_type: cuda
+  sample_batch_size: 2048
+  normalize_reward: true
+  normalized_G_max: 5.0
+  asymmetric_observation: false
+  learning_rate_init: 0.0003
+  learning_rate_peak: 0.0003
+  learning_rate_end: 0.00015
+  learning_rate_warmup_rate: 1.0e-06
+  learning_rate_warmup_step: 50
+  learning_rate_decay_rate: 1.0
+  learning_rate_decay_step: 50000000
+  actor_num_blocks: 2
+  actor_hidden_dim: 128
+  actor_bc_alpha: 0.0
+  actor_noise_zeta_mu: 2.0
+  actor_noise_zeta_max: 16
+  actor_update_period: 2
+  critic_num_blocks: 2
+  critic_hidden_dim: 256
+  critic_num_bins: 101
+  critic_min_v: -5
+  critic_max_v: 5
+  critic_target_update_tau: 0.01
+  temp_initial_value: 0.01
+  temp_target_sigma: 0.15
+  temp_target_entropy: null
+  gamma: 0.99
+  n_step: 8
+  use_compile: true
+  compile_mode: auto
+  use_amp: true
+  load_optimizer: true
+  load_reward_normalizer: true
+rfcl:
+  demo_ratio: 0.5
+  truncate_after_success: 50
+  reverse:
+    reverse_step_size: 16
+    advance_threshold: 0.9
+    frontier_window: 10
+    minimum_episode_steps: 30
+  solved_frac_threshold: 0.5
+  demo_path: data/demo_banks/fmb_round/oracle_demos.h5
+  init_pose: pregrasp:0.03,15
+eval_worker:
+  num_envs: 50
+skill:
+  phi_hidden:
+  - 256
+  - 256
+  phi_lr: 0.0001
+  dual_slack: 0.001
+  lam_init: 1.0
+  alpha: 0.0
+  z_dim: 0
+safety_penalty:
+  illegal_contact:
+    weight: 0.0001
+    sat: 100
+    robot_bodies:
+    - panda_link5
+    - panda_link6
+    - panda_link7
+    - panda_hand
+    - panda_leftfinger
+    - panda_rightfinger
+    scene_bodies:
+    - peg
+    - board
+    - table
+    allowed_pairs:
+    - - panda_leftfinger
+      - peg
+    - - panda_rightfinger
+      - peg
+  obj_press:
+    weight: 1.0e-06
+    deadband_axial: 5.0
+    deadband_lateral: 15.0
+    sat: 100.0
+    surfaces:
+    - board
+obs_bounds:
+  object_z_m:
+  - 0.0
+  - 0.6
+  eef_box_m:
+    x:
+    - 0.2
+    - 0.85
+    'y':
+    - -0.45
+    - 0.45
+    z:
+    - 0.0
+    - 0.7
+  object_xy:
+  - - 0.25
+    - 0.65
+  - - -0.25
+    - 0.15
+task_name: fmb_round
+jerk_limited_action:
+  max_joint_velocity:
+  - 0.22215
+  - 0.51715
+  - 0.19244
+  - 0.66218
+  - 0.31884
+  - 0.41767
+  - 0.40726
+  max_joint_acceleration:
+  - 0.46616
+  - 0.95012
+  - 0.46407
+  - 1.28545
+  - 1.25775
+  - 1.18572
+  - 1.33469
+  max_joint_jerk:
+  - 2.65668
+  - 4.40304
+  - 2.82091
+  - 5.53682
+  - 9.90014
+  - 6.67391
+  - 10.55754
+method_name: prfcl

normalizer.pt

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+oid sha256:7b237a781e41219873d94bb327cb71697cf9f4b462c65ff98b96a4a92b9c2253
+size 2364