Multi-Reward RL, Part 2: Benchmarking GRPO, DAPO, and CISPO on Unseen Tasks
Follow-up: Part 3 scales the CISPO + REPO-R recipe to Qwen3.8-27B and 600 steps , with a one-change-per-run holdout ladder and an advantage-floor fa…
Последние новости
⚑ Сообщить о проблемеTech news from the best sources
Все темы
AI
Gear
News
Tech
agents
ai
api
architecture
automation
beginners
career
database
devchallenge
devops
discuss
javascript
llm
machinelearning
mcp
opensource
performance
productivity
programming
python
security
showdev
testing
tutorial
typescript
webdev
The Verifier Design Playbook: How to Build RLVR Gyms That Models Can't Game
In traditional machine learning, your loss function is a clean mathematical equation: mean squared error, cross-entropy, or cosine distance. The mat…
Multi-Reward Reinforcement Learning for LLM Agents: Comparing PPO, GRPO, DAPO, and GDPO
New empirical follow-up: Part 2 compares seven trainer configurations on Qwen3-14B and our DEX gym , with no-think and thinking holdouts, interactiv…
RL 3: Bellman Equations and Markov Decision Processes (1950s–1960s)
Where we left off Two quick reminders. Thorndike (1898) watched cats escape a puzzle box and gave us the Law of Effect : do something, get a good re…
Building and Testing Robot Policies with MuJoCo
Building and Testing Robot Policies with MuJoCo MuJoCo (Multi-Joint dynamics with Contact) is a fast, accurate physics engine that has become a stan…
Can you steal a robot's next move by watching its clock? Journal of our experiments on timing side channels in multi agent RL
I have been keenly interested in the intersection of multi-agent reinforcement learning (MARL) and hardware security. When you deploy a trained RL p…
I Implemented the Algorithm Behind ChatGPT From Scratch - Day 8 (PPO).
SERIES: Learning RL and JAX in Public - from zero to DeepMind :) When people ask "how was ChatGPT trained?", the answer usually involves RLHF - Rein…
I Replaced a Q-Table With a Neural Network and Everything Changed - Day 5 (DQN).
SERIES: Learning RL and JAX in Public - from zero to DeepMind :) Day 4 ended with a working Q-learning agent. A table of numbers that an agent used…
Decoding the Link Between Pretraining and Reinforcement Learning
What Happened Researchers have published a study investigating the complex pipeline from pretraining to reinforcement learning (RL) in large languag…
The Whole Paper Fits in One Sigmoid: Implementing the SDAR Gate
Recap. Part 1 framed the problem (trajectory reward is too coarse for multi-step agents) and SDAR's fix (a privileged teacher gives dense token-leve…
How to Add Live Telemetry and Failure Diagnosis to Isaac Lab, MuJoCo, or Gazebo Training in Under 5 Minutes
If you train robot policies long enough, you eventually realize the main problem is not launching runs. It is answering these questions fast enough:…