alfredgu001324 commited on
Commit
1225971
Β·
verified Β·
1 Parent(s): 7bdebfa

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -2
README.md CHANGED
@@ -9,7 +9,7 @@ dynamics_model/ # Stage 1: Learned dynamics models
9
  β”œβ”€β”€ beamng_bicycle_*/ # Bicycle model variants
10
  β”œβ”€β”€ beamng_ddm_*/ # Deep Dynamics Model (DDM) variants
11
  β”œβ”€β”€ beamng_trans_*/ # Transformer-based models
12
- β”œβ”€β”€ beamng_dytr_*/ # DYTR (Dynamics Transfer) models
13
  └── beamng_manual_PID_*/ # Manual PID control baselines
14
 
15
  control_policies/ # Stage 2 & 3: Trained RL policies
@@ -60,7 +60,7 @@ local_dir = snapshot_download(
60
  - **Bicycle**: Simple analytical model serving as baseline
61
  - **DDM**: Deep Dynamics Model - neural network trained on BeamNG data
62
  - **Transformer**: Sequence-aware dynamics model using transformer architecture
63
- - **DYTR**: Dynamics Transfer model for cross-domain generalization
64
 
65
  ### Control Policies (Stage 2 & 3)
66
 
 
9
  β”œβ”€β”€ beamng_bicycle_*/ # Bicycle model variants
10
  β”œβ”€β”€ beamng_ddm_*/ # Deep Dynamics Model (DDM) variants
11
  β”œβ”€β”€ beamng_trans_*/ # Transformer-based models
12
+ β”œβ”€β”€ beamng_dytr_*/ # DYTR (Residual Learning) models
13
  └── beamng_manual_PID_*/ # Manual PID control baselines
14
 
15
  control_policies/ # Stage 2 & 3: Trained RL policies
 
60
  - **Bicycle**: Simple analytical model serving as baseline
61
  - **DDM**: Deep Dynamics Model - neural network trained on BeamNG data
62
  - **Transformer**: Sequence-aware dynamics model using transformer architecture
63
+ - **DYTR**: Residual Learning towards High-fidelity Vehicle Dynamics Modeling with Transformer
64
 
65
  ### Control Policies (Stage 2 & 3)
66