fschur / DDQN-with-PyTorch-for-OpenAI-Gym
Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
☆68Updated last week
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
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Updated 4 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆178Updated 7 months ago
- ☆185Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆166Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆176Updated 9 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆139Updated 6 years ago
- PyTorch implementation of SAC-Discrete.☆302Updated 9 months ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 4 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆293Updated 5 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆152Updated last year
- A collection of pre-trained RL agents using Stable Baselines3☆125Updated 5 months ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆161Updated 9 months ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆51Updated 3 years ago
- ☆41Updated 5 years ago
- Experiments with reinforcement learning and recurrent neural networks☆113Updated last year
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆99Updated 2 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Updated 2 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆93Updated 4 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆127Updated last year
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- Collection of OpenAI parametrized action-space environments.☆64Updated last month
- ☆40Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆286Updated 4 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆77Updated last year
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆222Updated 3 months ago
- ☆200Updated last year
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆211Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 9 months ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆59Updated 4 years ago