RchalYang / torchrl
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
☆217Updated 2 years ago
Alternatives and similar repositories for torchrl:
Users that are interested in torchrl are comparing it to the libraries listed below
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆305Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆482Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆296Updated 6 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆135Updated 6 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆286Updated 3 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆340Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆524Updated 3 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆327Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆290Updated last year
- Curiosity-driven Exploration by Self-supervised Prediction☆136Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆168Updated 6 months ago
- PyTorch implementation of deep reinforcement learning algorithms☆494Updated 3 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆209Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆342Updated last year
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆188Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆238Updated 4 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆224Updated 4 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆161Updated 2 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆206Updated 4 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆140Updated 3 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆116Updated 3 months ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 6 months ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 5 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆175Updated last year
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆204Updated 5 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆402Updated last year
- Random Network Distillation pytorch☆243Updated 5 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆314Updated 5 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆208Updated last year