Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

Modularized Implementation of Deep RL Algorithms in PyTorch

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

Deep Reinforcement Learning with pytorch & visdom

A PyTorch Platform for Distributed RL

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

A3C LSTM Atari with Pytorch plus A3G design

PyTorch C++ Reinforcement Learning

Open-source pre-training implementation of Google's LaMDA in PyTorch. Adding RLHF similar to ChatGPT.

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL

Deep RL algorithm in pytorch

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

Pytorch implementation of Dreamer-v2: Visual Model Based RL Algorithm.

Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

PyTorch implementation of DreamerV2 model-based RL algorithm

🤖 Elegant implementations of offline safe RL algorithms in PyTorch

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Repository of implementations of classic and sota rl algorithms from scratch in PyTorch

A full pipeline to finetune Vicuna LLM with LoRA and RLHF on consumer hardware. Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the Vicuna architecture. Basically ChatGPT but with Vicuna

Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.