In deep reinforcement learning, a pruned network is a good network
Paper • 2402.12479 • Published • 19
reinforcement learning
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Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
Paper • 2403.03950 • Published • 15 -
RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 71 -
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
Paper • 2405.11143 • Published • 41 -
Understanding and Diagnosing Deep Reinforcement Learning
Paper • 2406.16979 • Published • 10 -
Efficient World Models with Context-Aware Tokenization
Paper • 2406.19320 • Published • 8 -
It Takes Two: Your GRPO Is Secretly DPO
Paper • 2510.00977 • Published • 32 -
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
Paper • 2510.25992 • Published • 48 -
MuJoCo-Drones-Gym: A GPU-Accelerated Multi-Drone Simulator for Control and Reinforcement Learning
Paper • 2606.08039 • Published • 4