jerrodparker20 / adaptive-transformers-in-rlLinks
Adaptive Attention Span for Reinforcement Learning
☆135Updated 5 years ago
Alternatives and similar repositories for adaptive-transformers-in-rl
Users that are interested in adaptive-transformers-in-rl are comparing it to the libraries listed below
Sorting:
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆144Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 6 months ago
- Experiments with reinforcement learning and recurrent neural networks☆115Updated 2 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 Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 3 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆139Updated last year
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆58Updated 4 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆229Updated 3 years ago
- ☆203Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆328Updated 2 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆97Updated 5 months 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
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆219Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- ☆131Updated last year
- Gridworld for MARL experiments☆143Updated 4 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆56Updated 2 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆189Updated 3 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆150Updated 4 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.