🐦 Twitter Post Details

Viewing enriched Twitter post

@omarsar0

New survey on agentic reinforcement learning for LLMs. LLM RL still treats models like sequence generators optimized in relatively narrow settings. However, real agents operate in open-ended, partially observable environments where planning, memory, tool use, reasoning, self-improvement, and perception all interact. This paper argues that agentic RL should be treated as its own landscape. It introduces a broad taxonomy that organizes the field across core agent capabilities and application domains, then maps the open-source environments, benchmarks, and frameworks shaping the space. If you are building agents, this is a strong paper worth checking out. Paper: https://t.co/qwXZNSp0ZA Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

Media 1
Media 2
View on Twitter

📊 Media Metadata

{
  "media": [
    {
      "type": "photo",
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2030287867617153248/media_0.jpg?",
      "filename": "media_0.jpg"
    },
    {
      "type": "photo",
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2030287867617153248/media_1.png?",
      "filename": "media_1.png"
    }
  ],
  "processed_at": "2026-03-07T14:25:40.921775",
  "pipeline_version": "2.0"
}

🔧 Raw API Response

{
  "type": "tweet",
  "id": "2030287867617153248",
  "url": "https://x.com/omarsar0/status/2030287867617153248",
  "twitterUrl": "https://twitter.com/omarsar0/status/2030287867617153248",
  "text": "New survey on agentic reinforcement learning for LLMs.\n\nLLM RL still treats models like sequence generators optimized in relatively narrow settings. However, real agents operate in open-ended, partially observable environments where planning, memory, tool use, reasoning, self-improvement, and perception all interact.\n\nThis paper argues that agentic RL should be treated as its own landscape.\n\nIt introduces a broad taxonomy that organizes the field across core agent capabilities and application domains, then maps the open-source environments, benchmarks, and frameworks shaping the space.\n\nIf you are building agents, this is a strong paper worth checking out.\n\nPaper: https://t.co/qwXZNSp0ZA\n\nLearn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX",
  "source": "Twitter for iPhone",
  "retweetCount": 1,
  "replyCount": 0,
  "likeCount": 6,
  "quoteCount": 1,
  "viewCount": 261,
  "createdAt": "Sat Mar 07 14:22:03 +0000 2026",
  "lang": "en",
  "bookmarkCount": 2,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "2030287867617153248",
  "displayTextRange": [
    0,
    271
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "omarsar0",
    "url": "https://x.com/omarsar0",
    "twitterUrl": "https://twitter.com/omarsar0",
    "id": "3448284313",
    "name": "elvis",
    "isVerified": false,
    "isBlueVerified": true,
    "verifiedType": null,
    "profilePicture": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
    "coverPicture": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
    "description": "",
    "location": "DAIR.AI Academy",
    "followers": 292568,
    "following": 779,
    "status": "",
    "canDm": true,
    "canMediaTag": true,
    "createdAt": "Fri Sep 04 12:59:26 +0000 2015",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 34972,
    "hasCustomTimelines": true,
    "isTranslator": true,
    "mediaCount": 4538,
    "statusesCount": 17417,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [
      "2029926242640912429"
    ],
    "profile_bio": {
      "description": "Building @dair_ai • Prev: Meta AI, Elastic, PhD • New AI learning portal: https://t.co/1e8RZKs4uX",
      "entities": {
        "description": {
          "hashtags": [],
          "symbols": [],
          "urls": [
            {
              "display_url": "academy.dair.ai",
              "expanded_url": "https://academy.dair.ai/",
              "indices": [
                74,
                97
              ],
              "url": "https://t.co/1e8RZKs4uX"
            }
          ],
          "user_mentions": [
            {
              "id_str": "0",
              "indices": [
                9,
                17
              ],
              "name": "",
              "screen_name": "dair_ai"
            }
          ]
        },
        "url": {
          "urls": [
            {
              "display_url": "dair.ai",
              "expanded_url": "https://www.dair.ai/",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/XQto5ypSIk"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {
    "media": [
      {
        "display_url": "pic.twitter.com/W5VnZm9lgl",
        "expanded_url": "https://twitter.com/omarsar0/status/2030287867617153248/photo/1",
        "ext_media_availability": {
          "status": "Available"
        },
        "features": {
          "large": {
            "faces": [
              {
                "h": 94,
                "w": 94,
                "x": 1260,
                "y": 1372
              }
            ]
          },
          "orig": {
            "faces": [
              {
                "h": 94,
                "w": 94,
                "x": 1260,
                "y": 1372
              }
            ]
          }
        },
        "id_str": "2030287864253288450",
        "indices": [
          272,
          295
        ],
        "media_key": "3_2030287864253288450",
        "media_results": {
          "id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARwtCA48mpACCgACHC0IDwUbEOAAAA==",
          "result": {
            "__typename": "ApiMedia",
            "id": "QXBpTWVkaWE6DAABCgABHC0IDjyakAIKAAIcLQgPBRsQ4AAA",
            "media_key": "3_2030287864253288450"
          }
        },
        "media_url_https": "https://pbs.twimg.com/media/HC0IDjyakAI15SR.jpg",
        "original_info": {
          "focus_rects": [
            {
              "h": 902,
              "w": 1610,
              "x": 0,
              "y": 0
            },
            {
              "h": 1594,
              "w": 1594,
              "x": 0,
              "y": 0
            },
            {
              "h": 1594,
              "w": 1398,
              "x": 0,
              "y": 0
            },
            {
              "h": 1594,
              "w": 797,
              "x": 0,
              "y": 0
            },
            {
              "h": 1594,
              "w": 1610,
              "x": 0,
              "y": 0
            }
          ],
          "height": 1594,
          "width": 1610
        },
        "sizes": {
          "large": {
            "h": 1594,
            "w": 1610
          }
        },
        "type": "photo",
        "url": "https://t.co/W5VnZm9lgl"
      }
    ]
  },
  "card": null,
  "place": {},
  "entities": {
    "hashtags": [],
    "symbols": [],
    "urls": [
      {
        "display_url": "arxiv.org/abs/2509.02547",
        "expanded_url": "https://arxiv.org/abs/2509.02547",
        "indices": [
          673,
          696
        ],
        "url": "https://t.co/qwXZNSp0ZA"
      },
      {
        "display_url": "academy.dair.ai",
        "expanded_url": "https://academy.dair.ai/",
        "indices": [
          749,
          772
        ],
        "url": "https://t.co/1e8RZKs4uX"
      }
    ],
    "user_mentions": []
  },
  "quoted_tweet": null,
  "retweeted_tweet": null,
  "isLimitedReply": false,
  "article": null
}