reinforcement-learning-kr / pg_travel
Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
☆370Updated 5 years ago
Alternatives and similar repositories for pg_travel:
Users that are interested in pg_travel are comparing it to the libraries listed below
- PyTorch implementation of Trust Region Policy Optimization☆441Updated 6 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆211Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,189Updated 4 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆748Updated last year
- Implementation of algorithms for continuous control (DDPG and NAF).☆308Updated 4 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆496Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆486Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆333Updated 5 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆220Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆678Updated 4 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆399Updated 7 years ago
- PyTorch implementation of soft actor critic☆874Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆105Updated 5 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆407Updated 4 years ago
- Random Network Distillation pytorch☆247Updated 6 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆600Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆538Updated 3 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆625Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆488Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆311Updated 3 years ago
- Structural implementation of RL key algorithms☆512Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆570Updated 7 years ago
- Mean Field Multi-Agent Reinforcement Learning☆392Updated 5 years ago
- Soft Actor-Critic☆1,070Updated last year
- Reinforcement Learning with Deep Energy-Based Policies☆422Updated last year
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆689Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆651Updated 6 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆734Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,067Updated 3 years ago