davidreiman / pytorch-atari-dqnLinks
A PyTorch implementation of deep Q-learning for Atari games
☆15Updated 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
Sorting:
- This repository contains the code used in the paper Evaluating the Performance of Reinformcent Learning Algorithms☆27Updated 3 years ago
- Code implementation of: "Graying the black box: Understanding DQNs"☆20Updated 8 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆202Updated 5 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 6 years ago
- ☆39Updated 5 years ago
- Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.☆10Updated 7 years ago
- POMDP wrappers for OpenAI Gym☆15Updated 5 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- Asynchronous implementation of DQN algorithm in PyTorch☆8Updated 5 years ago
- PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)☆33Updated 2 years ago
- NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.☆23Updated last year
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆38Updated 4 years ago
- Reinforcement Learning via Latent State Decoding☆30Updated last year
- Code for experimenting with state and action abstractions in reinforcement learning.☆31Updated 4 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Revisiting Rainbow☆75Updated 3 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated 9 months ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆61Updated 4 years ago
- Deep Variational Reinforcement Learning☆136Updated 2 years ago
- Modified CartPole-v0 OpenAI Gym environment with various noisy cases and Reinforcement Learning based controller☆9Updated 7 years ago
- Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks☆50Updated 2 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- ☆26Updated 7 years ago
- Code to train RL agents along with Adversarial distrubance agents☆65Updated 8 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- ☆43Updated 8 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago