dongminlee94 / deep_rl
PyTorch implementation of deep reinforcement learning algorithms
☆494Updated 3 years ago
Alternatives and similar repositories for deep_rl:
Users that are interested in deep_rl are comparing it to the libraries listed below
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆218Updated 2 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆371Updated 5 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,177Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆325Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,196Updated last week
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆329Updated last year
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆741Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC)☆532Updated 3 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆674Updated 4 years ago
- Implementation of benchmark RL algorithms☆467Updated 2 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆617Updated 3 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆407Updated 3 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆448Updated 3 years ago
- PyTorch implementation of soft actor critic☆860Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆484Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆299Updated 7 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,059Updated 3 years ago
- Structural implementation of RL key algorithms☆512Updated last year
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆563Updated 7 years ago
- TensorFlow2 Reinforcement Learning☆471Updated 3 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆212Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆696Updated 2 years ago
- PyTorch implementation of Trust Region Policy Optimization☆438Updated 6 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆721Updated 2 years ago
- List of competitions related to Reinforcement Learning☆352Updated last year
- Simple A3C implementation with pytorch + multiprocessing☆634Updated 2 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆307Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆686Updated last year
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆487Updated 2 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆901Updated 2 months ago