keiohta / tf2rl
TensorFlow2 Reinforcement Learning
☆472Updated 3 years ago
Alternatives and similar repositories for tf2rl:
Users that are interested in tf2rl are comparing it to the libraries listed below
- Reinforcement Learning Algorithms Based on PyTorch☆449Updated 3 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆744Updated last year
- PyTorch implementation of deep reinforcement learning algorithms☆496Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,280Updated last year
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆308Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆535Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,164Updated 2 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆622Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆487Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆299Updated 8 months ago
- PyTorch implementation of soft actor critic☆864Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆486Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆307Updated 3 years ago
- 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2☆607Updated 2 years ago
- Code for conservative Q-learning☆428Updated 3 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆329Updated 5 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆260Updated 4 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆407Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,181Updated 4 years ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆648Updated last year
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆293Updated last year
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆675Updated 4 years ago
- Soft Actor-Critic☆1,060Updated last year
- Implementation of benchmark RL algorithms☆467Updated 2 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆547Updated last year
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆688Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆297Updated 2 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆330Updated 2 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆726Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆219Updated 2 years ago