mayankamedhe / Transformer-based-Deep-Reinforcement-Learning-for-Video-Games
☆32Updated 5 years ago
Alternatives and similar repositories for Transformer-based-Deep-Reinforcement-Learning-for-Video-Games:
Users that are interested in Transformer-based-Deep-Reinforcement-Learning-for-Video-Games are comparing it to the libraries listed below
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Adaptive Attention Span for Reinforcement Learning☆133Updated 4 years ago
- Experiments with transformer based RL algorithms☆22Updated 5 years ago
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆80Updated last year
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆179Updated 2 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆51Updated 4 years ago
- StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX☆69Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 4 years ago
- ☆41Updated 5 years ago
- ☆26Updated 4 years ago
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆59Updated last year
- Deep Reinforcement Learning Framework done with PyTorch☆34Updated last week
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- behavior cloning from observation☆35Updated 4 years ago
- Experiments with reinforcement learning and recurrent neural networks☆113Updated last year
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆28Updated 2 years ago
- An unofficial implementation for online decision transformer☆40Updated 2 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆45Updated 2 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆45Updated last year
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆40Updated 2 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 2 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆142Updated 3 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆26Updated 5 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆160Updated 8 months ago
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆28Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago