cyoon1729 / RLcycleLinks
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
☆300Updated last year
Alternatives and similar repositories for RLcycle
Users that are interested in RLcycle are comparing it to the libraries listed below
Sorting:
- Prioritized Experience Replay (PER) implementation in PyTorch☆352Updated 5 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆217Updated 2 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆546Updated 11 months ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆509Updated 2 years ago
- List of competitions related to Reinforcement Learning☆349Updated last year
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆416Updated 4 years ago
- ☆185Updated 3 years ago
- Structural implementation of RL key algorithms☆514Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆325Updated 3 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆317Updated 2 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆555Updated 2 years ago
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆372Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Deep reinforcement learning model implementation in Tensorflow + OpenAI gym☆304Updated 2 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆194Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆227Updated 3 years ago
- A collection of multi agent environments based on OpenAI gym.☆618Updated last year
- Mean Field Multi-Agent Reinforcement Learning☆404Updated 5 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆303Updated 2 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆494Updated 3 years ago
- Tensorflow implementation of Deepminds dqn with double dueling networks☆216Updated 5 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆292Updated 4 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- A PyTorch library for building deep reinforcement learning agents.☆652Updated last year
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆702Updated last year
- Policy Gradient Actor-Critic PyTorch | Lunar Lander v2☆73Updated 6 years ago