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prothamd-adaptive-world-env

2.72 MB

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3 contributors

History: 38 commits

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Update README.md

2ae1f78 verified 3 months ago

graders
Initial commit: AdaptiveWorld Env v2.0 (Round 2) 3 months ago
scenarios
fix: drift_trigger_step + reward_fn for proper belief scores 3 months ago
server
Serve SPA with no-cache headers so HF UI picks up static/index.html after deploy 3 months ago
static
Update static frontend: Experience tab, mobile nav, responsive layout, live run UI 3 months ago
tests
Initial commit: AdaptiveWorld Env v2.0 (Round 2) 3 months ago
.dockerignore

74 Bytes
Initial commit: AdaptiveWorld Env v2.0 (Round 2) 3 months ago
.env.example

149 Bytes
Initial commit: AdaptiveWorld Env v2.0 (Round 2) 3 months ago
.gitattributes

42 Bytes
Initial commit: AdaptiveWorld Env v2.0 (Round 2) 3 months ago
.gitignore

83 Bytes
Add .gitignore and remove cached build artifacts 3 months ago
Dockerfile

620 Bytes
Initial commit: AdaptiveWorld Env v2.0 (Round 2) 3 months ago
README.md

7.14 kB
Update README.md 3 months ago
__init__.py

29 Bytes
Initial commit: AdaptiveWorld Env v2.0 (Round 2) 3 months ago
__results___24_1.png

29 kB
xet

add training section, result images, and protham notebook to blog 3 months ago
__results___25_1.png

50.2 kB
xet

add training section, result images, and protham notebook to blog 3 months ago
_a_final_training_img.png

247 kB
xet

Refresh training metrics and dashboard image for HF Space 3 months ago
_fix_regex.py

1.32 kB
Fix environment bug: adjust drift triggers and prevent premature auto-termination to avoid reward hacking; update README 3 months ago
_show_scenarios.py

261 Bytes
Fix environment bug: adjust drift triggers and prevent premature auto-termination to avoid reward hacking; update README 3 months ago
awe.ipynb

217 kB
feat: 3-phase belief training — probe evidence → model generates belief from observation 3 months ago
blog.md

10.9 kB
Upload blog.md 3 months ago
client.py

1.74 kB
Remove deprecated __init__ arguments from EnvClient 3 months ago
inference.py
10.8 kB
Fix environment bug: adjust drift triggers and prevent premature auto-termination to avoid reward hacking; update README 3 months ago
models.py
3.31 kB
Initial commit: AdaptiveWorld Env v2.0 (Round 2) 3 months ago
openenv.yaml
2.2 kB
Initial commit: AdaptiveWorld Env v2.0 (Round 2) 3 months ago
protham.ipynb

547 kB
Blog: reconcile correlation narrative; add RNG/game analogy; push protham.ipynb 3 months ago
pyproject.toml
645 Bytes
Initial commit: AdaptiveWorld Env v2.0 (Round 2) 3 months ago
requirements.txt

118 Bytes
Initial commit: AdaptiveWorld Env v2.0 (Round 2) 3 months ago
result_img.png

194 kB
xet

add training section, result images, and protham notebook to blog 3 months ago
training_notebook.ipynb
23 kB
Initial commit: AdaptiveWorld Env v2.0 (Round 2) 3 months ago
uv.lock

544 kB
chore: add uv.lock for openenv deployment 3 months ago
validate.py
21.4 kB
Fix environment bug: adjust drift triggers and prevent premature auto-termination to avoid reward hacking; update README 3 months ago