dongminlee94 / Reinforcement-Learning-CodeLinks
A repository for code of reinforcement learning algorithms with PyTorch
☆30Updated 3 years ago
Alternatives and similar repositories for Reinforcement-Learning-Code
Users that are interested in Reinforcement-Learning-Code are comparing it to the libraries listed below
Sorting:
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆54Updated 4 months ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 5 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 6 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆39Updated 2 years ago
- ☆84Updated 4 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 8 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- Deep Reinforcement Learning Algorithms Implementation in PyTorch☆27Updated 5 months ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆127Updated 4 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆50Updated 4 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆218Updated 2 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- Reinforcement Learning Methods with PyTorch☆39Updated 5 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 5 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆53Updated 6 years ago
- ☆86Updated last year
- Combining Evolutionary Algorithms and deep RL in various ways☆103Updated 4 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆139Updated 2 years ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆69Updated 4 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆95Updated last month
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Solving POMDP using Recurrent networks☆90Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago