jacobaustin123 / pytorch-dqnLinks
PyTorch implementation of DeepMind's "Human-level control through deep reinforcement learning"
β18Updated 5 years ago
Alternatives and similar repositories for pytorch-dqn
Users that are interested in pytorch-dqn are comparing it to the libraries listed below
Sorting:
- Series of deep reinforcement learning algorithms π€β29Updated 4 years ago
- Implementation of Dueling Network Architectures for Deep Reinforcement Learning paper with Pytorchβ10Updated 4 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.β69Updated last month
- unofficial code reproducing Agent57β37Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,β¦β123Updated 4 years ago
- β39Updated 5 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some eβ¦β53Updated 4 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memoryβ183Updated last year
- Proximal policy optimization in PyTorch. Easy to read and understand.β50Updated 4 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPβ¦β114Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)β142Updated 6 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorchβ100Updated 3 years ago
- Applying minimaxQ learning algorithm to 2 agents gamesβ33Updated 7 years ago
- π Paper: Deep Reinforcement Learning with Double Q-learning πΉοΈβ54Updated last year
- A collection of pre-trained RL agents using Stable Baselines3β130Updated 8 months ago
- The Easiest Pytorch Implementation of Branching-DQNβ11Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Predictionβ138Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RLβ183Updated 10 months ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Opeβ¦β49Updated 2 years ago
- Codes accompanying the paper "A Convergent and Efficient Deep Q Network Algorithm"β8Updated 3 years ago
- Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)β33Updated 3 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3β99Updated 2 years ago
- This is pytorch implmentation project of Bootsrapped DQNβ12Updated 4 years ago
- Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)β15Updated 5 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALEβ54Updated 4 months ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcementβ¦β20Updated 2 years ago
- Prioritized Experience Replay implementation with proportional prioritizationβ81Updated 2 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)β42Updated 6 years ago
- Partially Observable Process Gymβ193Updated last month
- Baseline implementation of recurrent PPO using truncated BPTT