navneet-nmk/pytorch-rl
Deep reinforcement learning library implementing DQN, DDPG, PPO, HER, and other RL algorithms in PyTorch with OpenAI Gym integration.
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This repository implements state-of-the-art deep reinforcement learning algorithms in PyTorch, including DQN with Double Q-learning, DDPG, PPO, and Hindsight Experience Replay (HER). It integrates with OpenAI Gym and MuJoCo for simulation environments, supporting both CPU and GPU training. The library provides implementations for continuous action spaces and includes prioritized experience replay for sample-efficient learning.
Frequently asked
- What is navneet-nmk/pytorch-rl?
- Deep reinforcement learning library implementing DQN, DDPG, PPO, HER, and other RL algorithms in PyTorch with OpenAI Gym integration.
- Is pytorch-rl open source?
- Yes — navneet-nmk/pytorch-rl is an open-source project tracked on heatdrop.
- What language is pytorch-rl written in?
- navneet-nmk/pytorch-rl is primarily written in Python.
- How popular is pytorch-rl?
- navneet-nmk/pytorch-rl has 453 stars on GitHub.
- Where can I find pytorch-rl?
- navneet-nmk/pytorch-rl is on GitHub at https://github.com/navneet-nmk/pytorch-rl.