fschur / DDQN-with-PyTorch-for-OpenAI-Gym
Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
☆68Updated 3 weeks ago
Alternatives and similar repositories for DDQN-with-PyTorch-for-OpenAI-Gym
Users that are interested in DDQN-with-PyTorch-for-OpenAI-Gym are comparing it to the libraries listed below
Sorting:
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆180Updated 8 months ago
- PyTorch implementation of SAC-Discrete.☆302Updated 9 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆176Updated 9 months ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆212Updated 2 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆162Updated 10 months ago
- very easy implementation of dueling DQN in pytorch☆72Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆140Updated 6 years ago
- ☆185Updated 3 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆170Updated last year
- PyTorch implementation of GAIL and AIRL based on PPO.☆218Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆51Updated 3 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆28Updated this week
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆89Updated last year
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆309Updated 2 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆223Updated 3 months 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
- Collection of OpenAI parametrized action-space environments.☆65Updated last month
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 4 years ago
- Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning☆64Updated 2 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆127Updated 6 months ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆55Updated 3 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆118Updated 6 months ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆155Updated 2 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 2 years ago