pocokhc / agent57
Qiita投稿用に作成したAgent57(強化学習)の実装コードです。
☆45Updated last year
Related projects: ⓘ
- Pytorch implementation of distributed deep reinforcement learning☆72Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆158Updated last month
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆128Updated 5 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆92Updated 4 years ago
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆28Updated 3 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆55Updated 3 years ago
- Adaptive Attention Span for Reinforcement Learning☆130Updated 4 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆98Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated last month
- PyTorch implementation of Soft Actor-Critic(SAC).☆94Updated 4 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆41Updated 5 years ago
- ☆187Updated last year
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆65Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆131Updated last year
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- FQF(Fully parameterized Quantile Function for distributional reinforcement learning) is a general reinforcement learning framework for At…☆40Updated 3 years ago
- Soft Actor-Critic with advanced features☆47Updated 3 weeks ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆150Updated 2 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆143Updated 3 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
- Baseline implementation of recurrent PPO using truncated BPTT☆118Updated 4 months ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆253Updated 4 years ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆90Updated 3 years ago
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆152Updated 5 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆42Updated last year
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆158Updated 2 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 3 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆77Updated last year
- Code for the paper "Phasic Policy Gradient"☆245Updated last year