Update GHP.

Author: jcformanek

README.md

@@ -144,78 +144,6 @@ We recently converted several datasets from prior works to Vaults and benchmarke
 | [Wang et al. (2023)](https://papers.nips.cc/paper_files/paper/2023/hash/a46c84276e3a4249ab7dbf3e069baf7f-Abstract-Conference.html) | 🔫SMAC v1 | 5m_vs_6m <br/> 6h_vs_8z <br/> 2c_vs_64zg <br/> corridor| [source](https://github.com/ZhengYinan-AIR/OMIGA) |
 | [Wang et al. (2023)](https://papers.nips.cc/paper_files/paper/2023/hash/a46c84276e3a4249ab7dbf3e069baf7f-Abstract-Conference.html) | 🐜MAMuJoCo | 6x1 HalfCheetah <br/> 3x1 Hopper <br/> 2x4 Ant| [source](https://github.com/ZhengYinan-AIR/OMIGA) |
 
-### Overview All Datasets
-
-```
-{"og_marl": {
-        "smac_v1": {
-            "3m": ["Good", "Medium", "Poor"],
-            "8m": ["Good", "Medium", "Poor"],
-            "5m_vs_6m": ["Good", "Medium", "Poor"],
-            "2s3z": ["Good", "Medium", "Poor"],
-            "3s5z_vs_3s6z": ["Good", "Medium", "Poor"],
-        },
-        "smac_v2": {
-            "terran_5_vs_5": ["Replay"],
-            "terran_10_vs_10": ["Replay"],
-            "zerg_5_vs_5": ["Replay"],
-        },
-        "mamujoco": {
-            "2halfcheetah": ["Good", "Medium", "Poor"]
-        },
-        "gymnasium_mamujoco": {
-            "2ant": ["Replay"],
-            "2halfcheetah": ["Replay"],
-            "2walker": ["Replay"],
-            "3hopper": ["Replay"],
-            "4ant": ["Replay"],
-            "6halfcheetah": ["Replay"],
-        },
-    },
-    "cfcql": {
-        "smac_v1": {
-            "6h_vs_8z": ["Expert", "Medium", "Medium-Replay", "Mixed"],
-            "3s_vs_5z": ["Expert", "Medium", "Medium-Replay", "Mixed"]
-            "5m_vs_6m": ["Expert", "Medium", "Medium-Replay", "Mixed"]
-            "2s3z": ["Expert", "Medium", "Medium-Replay", "Mixed"]
-        },
-    },
-    "alberdice": {
-        "rware": {
-            "small-2ag": ["Expert"],
-            "small-4ag": ["Expert"],
-            "small-6ag": ["Expert"],
-            "tiny-2ag": ["Expert"],
-            "tiny-4ag": ["Expert"],
-            "tiny-6ag": ["Expert"],
-        },
-    },
-    "omar": {
-        "mpe": {
-            "simple_spread": ["Expert", "Medium", "Medium-Replay", "Random"]
-            "simple_tag": ["Expert", "Medium", "Medium-Replay", "Random"]
-            "simple_world": ["Expert", "Medium", "Medium-Replay", "Random"]
-        },
-        "mamujoco": {
-            "2halfcheetah": ["Expert", "Medium", "Medium-Replay", "Random"]
-        },
-    },
-    "omiga": {
-        "smac_v1": {
-            "2c_vs_64zg": ["Good", "Medium", "Poor"],
-            "6h_vs_8z": ["Good", "Medium", "Poor"],
-            "5m_vs_6m": ["Good", "Medium", "Poor"],
-            "corridor": ["Good", "Medium", "Poor"],
-        },
-        "mamujoco": {
-            "6halfcheetah": ["Expert", "Medium", "Medium-Expert", "Medium-Replay"],
-            "2ant": ["Expert", "Medium", "Medium-Expert", "Medium-Replay"],
-            "3hopper": ["Expert", "Medium", "Medium-Expert", "Medium-Replay"],
-        },
-    },
-}
-```
-
 ## Installing MAMuJoCo 🐆
 
 The OG-MARL datasets use the latest version of MuJoCo (210). While the OMIGA and OMAR datasets use an older version (200). They each have different instalation instructions and should be installed in seperate virtual environments.

mkdocs.yml

@@ -40,11 +40,11 @@ nav:
   - "Home": 'index.md'
   - "Videos": 'videos.md'
   - "Research":
-    - "": research/index.md
     - "Oryx: Many-Agent Coordination in Offline MARL": research/oryx.md
     - "Coordination Failure in Cooperative Offline MARL": research/polygames.md
     - "Selective Reincarnation in Multi-Agent Reinforcement Learning": research/selective-reincarnation.md
   - "Datasets":
+      - " ": dataset_cards/overview.md
       - "OG MARL": dataset_cards/og_marl.md
       - "CFCQL": dataset_cards/cfcql.md
       - "OMIGA": dataset_cards/omiga.md