ChuaCheowHuan / reinforcement_learningLinks
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
☆37Updated 2 years ago
Alternatives and similar repositories for reinforcement_learning
Users that are interested in reinforcement_learning are comparing it to the libraries listed below
Sorting:
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 3 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆149Updated 4 years ago
- ☆187Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆149Updated 7 years ago
- RLlib tutorials☆66Updated 4 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆176Updated 3 years ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆69Updated 4 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆334Updated 4 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 5 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated 2 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆245Updated 11 months ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆187Updated last year
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆90Updated 2 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆30Updated 7 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆107Updated 5 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆70Updated 7 months ago
- Experiments with transformer based RL algorithms☆22Updated 6 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆247Updated 5 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆54Updated 2 months ago
- A collection of pre-trained RL agents using Stable Baselines3☆142Updated last year
- Multi Type Mean Field Reinforcement Learning☆31Updated 3 years ago
- Ray RLlib tutorial material☆121Updated 3 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆231Updated 3 years ago
- Soft Actor-Critic with advanced features☆50Updated 2 weeks ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆331Updated 2 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 5 years ago