yuta0821 / agent57_pytorch
unofficial code reproducing Agent57
☆36Updated 10 months ago
Alternatives and similar repositories for agent57_pytorch:
Users that are interested in agent57_pytorch are comparing it to the libraries listed below
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆107Updated 11 months 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
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆44Updated 2 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆82Updated last year
- Pytorch implementation of DreamerV2: MASTERING ATARI WITH DISCRETE WORLD MODELS☆50Updated 3 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆174Updated last year
- PyTorch implementation of QR-DQN: Distributional Reinforcement Learning with Quantile Regression☆26Updated 4 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆76Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 6 months ago
- ☆106Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆27Updated 2 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆130Updated 8 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆167Updated 6 months ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆45Updated 10 months ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆57Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆102Updated 4 years ago
- Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation☆33Updated 4 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆160Updated 2 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆152Updated 6 months ago
- Synthetic Experience Replay☆84Updated 8 months ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆91Updated 3 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆164Updated 7 months ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆165Updated last week
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆74Updated 2 years ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆160Updated last week
- Implementation of Multi-Game Decision Transformers in PyTorch☆45Updated last year
- An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch☆45Updated 2 years ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆109Updated last year