ChuaCheowHuan / reinforcement_learning
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
☆36Updated last year
Related projects ⓘ
Alternatives and complementary repositories for reinforcement_learning
- Experiments with reinforcement learning and recurrent neural networks☆113Updated last year
- TF2 Implementation of the Soft Actor-Critic Algorithm☆45Updated last year
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆50Updated 3 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 4 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆80Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆132Updated 5 years ago
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆26Updated 3 years ago
- RLlib tutorials☆64Updated 2 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆114Updated this week
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆93Updated 4 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆25Updated 4 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆66Updated 3 months ago
- A collection of pre-trained RL agents using Stable Baselines3☆105Updated this week
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆67Updated 3 years ago
- Soft Actor-Critic with advanced features☆47Updated last month
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆28Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆161Updated 3 months ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆43Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆132Updated 3 months ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆89Updated 3 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆173Updated last year
- Combining Evolutionary Algorithms and deep RL in various ways☆99Updated 3 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆139Updated 2 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆42Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆93Updated 5 years ago
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆14Updated 6 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆73Updated 4 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆41Updated 5 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆119Updated 3 years ago