a modular reinforcement learning library with JAX agents
Multi-task reinforcement learning framework for agents to perform goal-conditioned tasks using end-effector control with Franka Emika Arm
Jax-Based Off-Policy RL Algorithms
A 20-DOF humanoid robot learning to stand from lying positions using TQC (Truncated Quantile Critics) reinforcement learning. Features custom JAX implementation with 5 quantile critics, asymmetric actor-critic observations, and contact-rich simulation.
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