mmuppidi / DQN-Atari-Pong
This project explores a deep reinforcement learning technique to train an agent to play atari pong game from OpenAI Gym. OpenAI Gym is a toolkit to develop and compare reinforcement learning algorithms. The learning agent takes raw pixels from the atari emulator and predicts an action that is fed back into the emulator via OpenAI interface. The …
☆11Updated 7 years ago
Alternatives and similar repositories for DQN-Atari-Pong
Users that are interested in DQN-Atari-Pong are comparing it to the libraries listed below
Sorting:
- research and implementations of Deep RL agents and their applications☆50Updated 2 weeks ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 2 years ago
- Implementation of Dueling Network Architectures for Deep Reinforcement Learning paper with Pytorch☆9Updated 4 years ago
- State Space Models for Reinforcement Learning in Tensorflow☆19Updated 6 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆49Updated 4 years ago
- Tensorflow implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆25Updated 8 years ago
- DQN based RL agent for Mountain Car☆13Updated 8 years ago
- Simple implementation of the model presented in Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic …☆17Updated 6 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆61Updated 4 years ago
- Series of deep reinforcement learning algorithms 🤖☆29Updated 3 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆77Updated 4 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆66Updated 5 years ago
- Random Network Distillation(RND) algo in Pytorch☆49Updated 6 years ago
- Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning☆38Updated 2 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- PyTorch implementation of Advantage Actor-Critic (A2C)☆45Updated 7 years ago
- Reinforcement learning algorithms with Generalized Advantage Estimation☆21Updated 6 years ago
- ☆13Updated 4 years ago
- A PyTorch implementation of Human-Level Control through Deep Reinforcement Learning☆23Updated 7 years ago
- This is a repository of DQN and its variants implementation in PyTorch based on the original papar.☆13Updated 5 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆140Updated 6 years ago
- Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space☆46Updated 7 years ago
- Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)☆31Updated 2 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- A PyTorch implementation of deep Q-learning for Atari games☆15Updated 6 years ago
- Reinforcement learning algorithms A2C, A3C and DQN☆17Updated last year
- Implementation of NeurIPS 2018 paper "Meta-Gradient Reinforcement Learning"☆20Updated 2 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
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆37Updated 6 years ago