davidreiman / pytorch-atari-dqn
A PyTorch implementation of deep Q-learning for Atari games
☆14Updated 6 years ago
Alternatives and similar repositories for pytorch-atari-dqn:
Users that are interested in pytorch-atari-dqn are comparing it to the libraries listed below
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.☆10Updated 7 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- ☆43Updated 8 years ago
- PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)☆33Updated 2 years ago
- research and implementations of Deep RL agents and their applications☆49Updated 3 weeks ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆203Updated 4 years ago
- Deep Variational Reinforcement Learning☆135Updated 2 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆94Updated 6 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆133Updated 7 years ago
- ☆76Updated 7 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆237Updated 2 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Code implementation of: "Graying the black box: Understanding DQNs"☆20Updated 8 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆31Updated 4 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- ☆92Updated 4 years ago
- Asynchronous implementation of DQN algorithm in PyTorch☆8Updated 5 years ago
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 7 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆47Updated 2 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆116Updated last year
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago