toshikwa / fqf-iqn-qrdqn.pytorch
PyTorch implementation of FQF, IQN and QR-DQN.
☆175Updated 8 months ago
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
- PyTorch implementation of SAC-Discrete.☆301Updated 8 months ago
- ☆194Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 8 months ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Updated 4 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆211Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆137Updated 6 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆135Updated 11 months ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆213Updated 4 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆307Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆163Updated 5 months ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 3 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆93Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆238Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆286Updated 4 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆355Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆165Updated 2 months ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆145Updated 3 years ago
- Random Network Distillation pytorch☆247Updated 6 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆126Updated 8 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆177Updated 6 months ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆94Updated 4 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆346Updated 2 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- Keeping track of RL experiments☆162Updated 2 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆139Updated 11 months ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 2 years ago