🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
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Machine learning, in numpy
- machine-learning
- neural-networks
- topic-modeling
- gaussian-mixture-models
Massively Parallel Deep Reinforcement Learning. 🔥
- pytorch
- reinforcement-learning
- ppo
- sac
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
- pytorch
- reinforcement-learning
- deep-learning
- deep-reinforcement-learning
Modularized Implementation of Deep RL Algorithms in PyTorch
- pytorch
- deep-reinforcement-learning
- dqn
- dueling-network-architecture
Massively parallel rigidbody physics simulation on accelerator hardware.
An AI agent that beats the classic game "Snake".
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
- reinforcement-learning
- parallel-processing
- cpp17
- pybind11
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.