reinforcement-learning-kr / reinforcement-learning-pytorch
Minimal and Clean Reinforcement Learning Examples in PyTorch
☆41Updated 6 years ago
Alternatives and similar repositories for reinforcement-learning-pytorch:
Users that are interested in reinforcement-learning-pytorch are comparing it to the libraries listed below
- Implementation of Neural Episodic Control in Tensorflow☆26Updated 5 years ago
- Atari-DRQN (keras ver.)☆33Updated 6 years ago
- The state-of-art deep rl algorithms for Montezuma's revenge☆25Updated 6 years ago
- mplementation of Advantage Actor Critic (A2C) and Proximal Policy Optimization Algorithm (PPO) use the advantages of Tensorflow 2.x.☆9Updated 4 years ago
- Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)☆74Updated 5 years ago
- This is a self-contained memory module for the Dynamic Kanerva Machine, as reported in the NIPS 2018 paper: Learning Attractor Dynamics f…☆43Updated 6 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- PyTorch implementation of Memory Augmented Self-Play☆50Updated 4 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- ZForcing Repo☆40Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆43Updated 3 years ago
- ☆49Updated 5 years ago
- RL framework for embodied agents based on PyTorch☆12Updated 5 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 5 years ago
- Distributed Priortized Experience Replay☆10Updated 6 years ago
- Implementation of PPO in Pytorch☆41Updated 7 years ago
- Policy gradient reinforcement learning algorithm with importance sampling☆31Updated 7 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆94Updated 4 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 5 years ago
- [Reimplementation Ross et al 2011] An implementation of DAGGER using ConvNets for driving from pixels.☆73Updated 7 years ago
- Deep Reinforcement Learning Algorithms Implementation in PyTorch☆26Updated 2 weeks ago
- 📉 A collection of TensorBoard-related utilities (In Progress)☆37Updated 2 years ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Updated 6 years ago
- Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning☆29Updated 7 years ago
- ☆43Updated 5 years ago
- Models built with TensorFlow☆25Updated 6 years ago
- Density Network Implementations using TensorFlow☆27Updated 6 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 7 years ago