jerrodparker20 / adaptive-transformers-in-rlLinks
Adaptive Attention Span for Reinforcement Learning
☆136Updated 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:
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆183Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 7 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆146Updated 2 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated 2 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆56Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆187Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 5 months ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆332Updated 2 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆58Updated 5 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆268Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆334Updated 4 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆53Updated 8 months ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆143Updated last year
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆218Updated 6 years ago
- ☆135Updated last year
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆149Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆204Updated last year
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆231Updated 3 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Updated 5 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆107Updated 3 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆99Updated 5 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 7 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆84Updated 4 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆86Updated 3 years ago
- ☆202Updated 2 years ago