IsaacLab
PulseAugur coverage of IsaacLab — every cluster mentioning IsaacLab across labs, papers, and developer communities, ranked by signal.
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Modified Soft Actor-Critic algorithm matches PPO performance for robot locomotion
Researchers have developed a modified version of the Soft Actor-Critic (SAC) algorithm that matches the performance of Proximal Policy Optimization (PPO) in training legged robots. This new approach addresses SAC's samp…
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TAVIS benchmark advances robotics imitation learning with active vision
Researchers have introduced TAVIS, a new benchmark designed to evaluate active vision in imitation learning for robotics. The benchmark includes two task suites, TAVIS-Head and TAVIS-Hands, built on humanoid embodiments…
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New C++ engine HASE achieves 33M steps/sec for multi-agent RL training
Researchers have developed a new C++ engine called Hide-And-Seek-Engine (HASE) designed to significantly improve the efficiency of training reinforcement learning agents in decentralized, partially observable environmen…