kimhc6028 / pytorch-noreward-rlLinks
pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
☆79Updated 6 years ago
Alternatives and similar repositories for pytorch-noreward-rl
Users that are interested in pytorch-noreward-rl are comparing it to the libraries listed below
Sorting:
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 7 years ago
- Implement A3C for Mujoco gym envs☆72Updated 7 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆57Updated 7 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 7 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 7 years ago
- Reinforcement learning models in ViZDoom environment☆133Updated 3 years ago
- Train an RL agent to play multiple Atari games at once☆69Updated 8 years ago
- TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular☆52Updated 8 years ago
- third person imitation learning. Archival only.☆76Updated 5 years ago
- PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)☆80Updated 8 years ago
- Noisy Networks for Exploration☆185Updated 7 years ago
- Proximal Policy Optimization in PyTorch☆39Updated 7 years ago
- ☆159Updated 7 years ago
- Implementation of PPO in Pytorch☆41Updated 7 years ago
- Implimentation of the Model Free Episodic Control paper by Deep Mind : http://arxiv.org/abs/1606.04460☆55Updated 8 years ago
- Model-Based Generative Adversarial Imitation Learning☆89Updated 4 years ago
- ☆97Updated 8 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Implementation of Deepmind's Neural Episodic Control☆59Updated 7 years ago
- Modular multitask reinforcement learning with policy sketches☆109Updated 3 years ago
- PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.☆15Updated 8 years ago
- PyTorch implementation of Memory Augmented Self-Play☆51Updated 4 years ago
- ☆56Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- A parallel version of Trust Region Policy Optimization☆65Updated 8 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆183Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆95Updated 6 years ago
- Implementation of "Control of Memory, Active Perception, and Action in Minecraft"☆86Updated 8 years ago