-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathindex.html
More file actions
406 lines (381 loc) · 15.4 KB
/
index.html
File metadata and controls
406 lines (381 loc) · 15.4 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>AgentR1 — USTC Cognitive Intelligence Lab</title>
<meta name="description" content="中国科大认知智能全国重点实验室开源项目主页，涵盖 Agent 训练框架、Agent 运行时、Agent 应用、Agentic RAG 四大研究方向。" />
<style>
*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
html { scroll-behavior: smooth; }
body {
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans SC",
"PingFang SC", "Hiragino Sans GB", sans-serif;
background: #f7f7f5;
color: #1a1a1a;
line-height: 1.8;
font-size: 16px;
min-height: 100vh;
display: flex;
flex-direction: column;
}
a { color: #c0392b; text-decoration: none; }
a:hover { text-decoration: underline; }
.container {
max-width: 920px;
margin: 0 auto;
padding: 0 24px;
}
/* ── Header ────────────────────────────────────── */
header {
background: linear-gradient(160deg, #ffffff 55%, #fff5f4 100%);
border-bottom: 1px solid #e8e8e8;
padding: 72px 0 56px;
text-align: center;
}
.site-label {
display: inline-block;
font-size: 0.8rem;
font-weight: 700;
letter-spacing: 0.12em;
text-transform: uppercase;
color: #c0392b;
background: #fff0ee;
border: 1px solid #f5c6c2;
border-radius: 20px;
padding: 4px 14px;
margin-bottom: 18px;
}
header h1 {
font-size: 2.3rem;
font-weight: 800;
line-height: 1.25;
color: #111;
}
header h1 .highlight { color: #c0392b; }
.header-subtitle {
margin-top: 16px;
font-size: 1.05rem;
color: #555;
max-width: 580px;
margin-left: auto;
margin-right: auto;
line-height: 1.7;
}
.affiliation {
margin-top: 10px;
font-size: 0.88rem;
color: #999;
}
/* ── Main ──────────────────────────────────────── */
main {
flex: 1;
padding: 64px 0 80px;
}
.section-intro {
text-align: center;
margin-bottom: 40px;
}
.section-intro h2 {
font-size: 1.3rem;
font-weight: 700;
color: #111;
margin-bottom: 10px;
}
.section-intro p {
font-size: 0.97rem;
color: #555;
}
/* ── Project cards ─────────────────────────────── */
.project-grid {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 24px;
}
.project-card {
background: #fff;
border: 1px solid #e6e6e6;
border-radius: 14px;
padding: 32px 28px 28px;
box-shadow: 0 3px 12px rgba(0, 0, 0, 0.05);
transition: transform .22s, box-shadow .22s;
display: flex;
flex-direction: column;
text-decoration: none;
color: inherit;
}
.project-card:hover {
transform: translateY(-5px);
box-shadow: 0 12px 32px rgba(0, 0, 0, 0.11);
text-decoration: none;
}
.card-tag {
display: inline-block;
font-size: 0.73rem;
font-weight: 700;
letter-spacing: 0.08em;
text-transform: uppercase;
border-radius: 4px;
padding: 3px 10px;
margin-bottom: 16px;
align-self: flex-start;
}
.tag-training { background: #fff0ee; color: #c0392b; border: 1px solid #f5c6c2; }
.tag-runtime { background: #eef4ff; color: #2471a3; border: 1px solid #b8d4f5; }
.tag-apps { background: #eafaf1; color: #1e8449; border: 1px solid #a9dfbf; }
.tag-rag { background: #f5eef8; color: #7d3c98; border: 1px solid #d2b4de; }
.project-card h3 {
font-size: 1.3rem;
font-weight: 800;
color: #111;
margin-bottom: 10px;
line-height: 1.3;
}
.project-card .card-desc {
font-size: 0.93rem;
color: #555;
line-height: 1.7;
flex: 1;
margin-bottom: 22px;
}
.card-meta {
display: flex;
flex-direction: column;
gap: 8px;
margin-bottom: 22px;
}
.meta-row {
display: flex;
align-items: flex-start;
gap: 8px;
font-size: 0.85rem;
color: #555;
}
.meta-icon { font-size: 0.95rem; flex-shrink: 0; margin-top: 1px; }
.card-links {
display: flex;
gap: 8px;
flex-wrap: wrap;
}
.card-btn {
display: inline-flex;
align-items: center;
gap: 6px;
padding: 7px 16px;
border-radius: 7px;
font-size: 0.84rem;
font-weight: 600;
border: 1.5px solid transparent;
transition: transform .16s, box-shadow .16s, background .16s;
text-decoration: none;
}
.card-btn:hover {
transform: translateY(-1px);
box-shadow: 0 4px 12px rgba(0,0,0,0.12);
text-decoration: none;
}
.btn-enter-training { background: #c0392b; color: #fff; border-color: #c0392b; }
.btn-enter-training:hover { background: #a93226; border-color: #a93226; }
.btn-enter-runtime { background: #2471a3; color: #fff; border-color: #2471a3; }
.btn-enter-runtime:hover { background: #1a5c87; border-color: #1a5c87; }
.btn-enter-apps { background: #1e8449; color: #fff; border-color: #1e8449; }
.btn-enter-apps:hover { background: #196f3d; border-color: #196f3d; }
.btn-enter-rag { background: #7d3c98; color: #fff; border-color: #7d3c98; }
.btn-enter-rag:hover { background: #6c3483; border-color: #6c3483; }
.btn-outline { background: #fff; color: #333; border-color: #d0d0d0; }
.btn-outline:hover { background: #f5f5f5; border-color: #aaa; }
/* ── Divider ────────────────────────────────────── */
.divider {
margin: 56px 0 40px;
border: none;
border-top: 1px solid #e8e8e8;
}
/* ── Team section ──────────────────────────────── */
.team-section { text-align: center; }
.team-section h2 {
font-size: 1.15rem;
font-weight: 700;
color: #111;
margin-bottom: 12px;
}
.team-section p {
font-size: 0.9rem;
color: #666;
line-height: 1.75;
}
/* ── Footer ────────────────────────────────────── */
footer {
background: #1c1c1c;
color: #999;
text-align: center;
padding: 28px 24px;
font-size: 0.84rem;
}
footer a { color: #e87b6e; }
/* ── Responsive ────────────────────────────────── */
@media (max-width: 640px) {
header h1 { font-size: 1.7rem; }
.project-grid { grid-template-columns: 1fr; }
main { padding: 48px 0 60px; }
}
</style>
</head>
<body>
<!-- ═══════════════════ HEADER ═══════════════════ -->
<header>
<div class="container">
<div class="site-label">AgentR1 · USTC</div>
<h1><span class="highlight">Agentic AI</span> 研究项目</h1>
<p class="header-subtitle">
中国科大认知智能全国重点实验室在 LLM Agent 训练、运行时、应用与 RAG 方向的开源研究成果
</p>
<p class="affiliation">State Key Laboratory of Cognitive Intelligence · University of Science and Technology of China</p>
</div>
</header>
<!-- ═══════════════════ MAIN ═══════════════════ -->
<main>
<div class="container">
<div class="section-intro">
<h2>研究方向</h2>
<p>选择一个方向查看详细介绍</p>
</div>
<div class="project-grid">
<!-- Agent Training Framework -->
<div class="project-card">
<span class="card-tag tag-training">Agent Training Framework</span>
<h3>Agent 训练框架</h3>
<p class="card-desc">
面向 LLM Agent 的强化学习训练基础设施。Agent-R1 将 MDP 框架延伸至多轮工具调用场景，构建端到端 RL 训练框架；Claw-R1 进一步将真实 Agent Runtime 与 RLVR 深度结合，实现「部署即训练」的新范式。
</p>
<div class="card-meta">
<div class="meta-row">
<span class="meta-icon">🎯</span>
<span>Agent-R1 · Claw-R1 · 端到端 RL · Process Rewards</span>
</div>
<div class="meta-row">
<span class="meta-icon">🔧</span>
<span>PPO / GRPO / REINFORCE++ · Runtime RL · 零代码侵入</span>
</div>
<div class="meta-row">
<span class="meta-icon">📄</span>
<span>arXiv 2511.14460 · Claw-R1 项目</span>
</div>
</div>
<div class="card-links">
<a class="card-btn btn-enter-training" href="agent-training/">查看主页 →</a>
<a class="card-btn btn-outline" href="agent-r1/">Agent-R1 详情</a>
<a class="card-btn btn-outline" href="claw-r1/">Claw-R1 详情</a>
</div>
</div>
<!-- Agent Runtime Framework -->
<div class="project-card">
<span class="card-tag tag-runtime">Agent Runtime Framework</span>
<h3>Agent 运行时框架</h3>
<p class="card-desc">
为科学研究 Agent 提供统一运行平台。Science-Star 基于 ReAct 引擎（Planning + Action + Memory + Reflection），集成 HLE、GAIA 等权威基准，覆盖搜索、爬取、PDF 解析、RAG 等丰富工具集，支持单/多智能体灵活配置。
</p>
<div class="card-meta">
<div class="meta-row">
<span class="meta-icon">🌟</span>
<span>Science-Star · 科学 AI Agent · ReAct 引擎</span>
</div>
<div class="meta-row">
<span class="meta-icon">🔬</span>
<span>HLE · GAIA · 多 Agent 架构 · 可视化分析</span>
</div>
<div class="meta-row">
<span class="meta-icon">🛠️</span>
<span>搜索 · 爬取 · PDF · 浏览器 · RAG 工具集</span>
</div>
</div>
<div class="card-links">
<a class="card-btn btn-enter-runtime" href="agent-runtime/">查看主页 →</a>
<a class="card-btn btn-outline" href="https://github.com/Melmaphother/Science-Star" target="_blank" rel="noopener">
<svg viewBox="0 0 16 16" fill="currentColor" xmlns="http://www.w3.org/2000/svg" style="width:13px;height:13px">
<path d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0016 8c0-4.42-3.58-8-8-8z"/>
</svg>
GitHub
</a>
</div>
</div>
<!-- Agent 应用 -->
<div class="project-card">
<span class="card-tag tag-apps">Agent Applications</span>
<h3>Agent 应用</h3>
<p class="card-desc">
将 Agentic 方法落地于实际应用场景的三项研究工作：Cast-R1 探索时间序列预测中的工具增强顺序决策；TableMind++ 构建不确定性感知的表格推理 Programmatic Agent；PaperScout 实现面向学术文献检索的自主 Agent。
</p>
<div class="card-meta">
<div class="meta-row">
<span class="meta-icon">📈</span>
<span>Cast-R1 · 时间序列预测 · 工具增强 RL</span>
</div>
<div class="meta-row">
<span class="meta-icon">📊</span>
<span>TableMind++ · 表格推理 · Programmatic Agent</span>
</div>
<div class="meta-row">
<span class="meta-icon">📚</span>
<span>PaperScout · 学术文献检索 · 序列级策略优化</span>
</div>
</div>
<div class="card-links">
<a class="card-btn btn-enter-apps" href="agent-apps/">查看主页 →</a>
</div>
</div>
<!-- Agentic RAG -->
<div class="project-card">
<span class="card-tag tag-rag">Agentic RAG</span>
<h3>Agentic RAG</h3>
<p class="card-desc">
在检索增强生成（RAG）方向上的系列工作：在 KDD Cup 2024 CRAG 竞赛中获得银牌（Task 2&3 第二名）；提出 Multi-Source Knowledge Pruning 方法（中稿 CIKM 2025）；发布竞赛技术报告（中稿 FCS 期刊）。
</p>
<div class="card-meta">
<div class="meta-row">
<span class="meta-icon">🥈</span>
<span>KDD Cup 2024 CRAG 银牌 · Task 2&3 第二名</span>
</div>
<div class="meta-row">
<span class="meta-icon">✂️</span>
<span>PruningRAG · 多源知识剪枝 · CIKM 2025</span>
</div>
<div class="meta-row">
<span class="meta-icon">📝</span>
<span>CRAG 技术报告 · FCS 期刊 · arXiv 2409.15337</span>
</div>
</div>
<div class="card-links">
<a class="card-btn btn-enter-rag" href="agentic-rag/">查看主页 →</a>
<a class="card-btn btn-outline" href="https://github.com/USTC-RAG-X/CRAG-in-KDD-Cup2024" target="_blank" rel="noopener">
<svg viewBox="0 0 16 16" fill="currentColor" xmlns="http://www.w3.org/2000/svg" style="width:13px;height:13px">
<path d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0016 8c0-4.42-3.58-8-8-8z"/>
</svg>
GitHub
</a>
</div>
</div>
</div>
<hr class="divider" />
<div class="team-section">
<h2>团队</h2>
<p>
Jie Ouyang · Ruiran Yan · Yucong Luo ·
Zirui Liu · Shuo Yu · Daoyu Wang ·
Tingyue Pan · Xiaoyu Tao · Qingchuan Li
</p>
<p style="margin-top: 6px;">
指导教师：<strong>Qi Liu</strong> · <strong>Mingyue Cheng</strong> · <strong>Enhong Chen</strong>
</p>
</div>
</div>
</main>
<!-- ═══════════════════ FOOTER ═══════════════════ -->
<footer>
<div class="container">
<p>
© 2025–2026 AgentR1 Team · USTC Cognitive Intelligence Lab
</p>
</div>
</footer>
</body>
</html>