mayankamedhe / Transformer-based-Deep-Reinforcement-Learning-for-Video-GamesLinks
☆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
Sorting:
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆82Updated 2 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆100Updated 3 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆52Updated 4 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆36Updated 3 months ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- A library for building reinforcement learning and imitation learning agents in Pytorch☆59Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 5 years ago
- Adaptive Attention Span for Reinforcement Learning☆133Updated 5 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆50Updated last month
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 6 years ago
- Pytorch implementation of [Feudal Net](https://arxiv.org/abs/1703.01161). ([Tensorflow version](https://github.com/dmakian/feudal_networ…☆17Updated 6 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆85Updated last year
- Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning☆38Updated 2 years ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆111Updated 2 years ago
- [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning☆32Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆138Updated 2 years ago
- StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX☆72Updated 3 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆180Updated 2 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆41Updated 3 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- ☆10Updated 4 years ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆20Updated 2 years ago
- Solution for Taxi env using HRL (Hierarchical reinforcement learning) (2018)☆21Updated 5 years ago
- ☆31Updated 2 years ago