toshikwa / fqf-iqn-qrdqn.pytorchLinks
PyTorch implementation of FQF, IQN and QR-DQN.
☆186Updated last year
Alternatives and similar repositories for fqf-iqn-qrdqn.pytorch
Users that are interested in fqf-iqn-qrdqn.pytorch are comparing it to the libraries listed below
Sorting:
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 2 months ago
- PyTorch implementation of SAC-Discrete.☆310Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆328Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆329Updated 3 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆214Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆376Updated 3 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆227Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆291Updated 4 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆180Updated 3 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆141Updated last year
- ☆203Updated 2 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆266Updated 5 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆196Updated last year
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆150Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆252Updated 5 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 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
- Code for conservative Q-learning☆462Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆139Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆173Updated last year
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆194Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆567Updated 3 years ago
- Experiments with reinforcement learning and recurrent neural networks☆115Updated 2 years ago
- Random Network Distillation pytorch☆256Updated 6 years ago
- Code for the paper "Phasic Policy Gradient"☆266Updated 2 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆116Updated last year
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆513Updated 2 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆164Updated 2 years ago