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.☆33Updated 3 years ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆109Updated last year
- Deep Reinforcement Learning for Continuous Control in PyTorch☆93Updated 3 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆50Updated 4 years ago
- Adaptive Attention Span for Reinforcement Learning☆133Updated 4 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆174Updated last year
- behavior cloning from observation☆35Updated 4 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆44Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆102Updated 4 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆78Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.☆56Updated 3 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆31Updated 3 weeks ago
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆28Updated 3 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆44Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆44Updated 2 years ago
- PyTorch IMPALA implementation☆25Updated 5 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆153Updated 6 months ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆57Updated last year
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆26Updated 5 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆45Updated 10 months ago
- [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning☆31Updated last year
- An unofficial implementation for online decision transformer☆39Updated 2 years ago
- A PyTorch implementation of Advantage weighted Actor-Critic (AWAC)☆54Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆45Updated last year
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆32Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- More efficient exploration for reinforcement learning in two-player, zero-sum game☆19Updated 6 months ago