While most embodied robots are still focusing on basic motion control ... built on a hierarchical end-to-end architecture and powered by reinforcement learning (RL). In real-world Mahjong ...

While most embodied robots are still focusing on basic motion control such as ... challenge with its novel R1 model, built on a hierarchical end-to-end architecture and powered by reinforcement ...

To run a simple experiment, import the run_agents_on_mdp(agent_list, mdp) method from simple_rl.run_experiments and call it with some agents for a given MDP. For example: # Imports from ...

Now, researchers at MIT have developed an entirely new way of approaching these complex problems, using simple diagrams as a tool to reveal better approaches to software optimization in deep-learning ...

Fast and simple implementation of RL algorithms, designed to run fully on GPU. This code is an evolution of rl-pytorch provided with NVIDIA's Isaac GYM. For documentation, we adopt the Google Style ...