udion / Transformer-RLLinks
Experiments with transformer based RL algorithms
☆22Updated 5 years ago
Alternatives and similar repositories for Transformer-RL
Users that are interested in Transformer-RL are comparing it to the libraries listed below
Sorting:
- Adaptive Attention Span for Reinforcement Learning☆133Updated 5 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆29Updated 6 years ago
- Soft Actor-Critic with advanced features☆51Updated last week
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- Solving POMDP using Recurrent networks☆90Updated 5 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 3 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated 5 months ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 7 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆31Updated 6 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 3 weeks ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆180Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆182Updated last year
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆51Updated 2 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆143Updated 6 years ago
- ☆75Updated last year
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆55Updated 2 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Distributional Soft Actor Critic☆58Updated 5 years ago
- Collection of OpenAI parametrized action-space environments.☆65Updated 4 months ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- Multi Type Mean Field Reinforcement Learning☆31Updated 3 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆46Updated 6 years ago