navneet-nmk / pytorch-rlLinks
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
☆446Updated 6 years ago
Alternatives and similar repositories for pytorch-rl
Users that are interested in pytorch-rl are comparing it to the libraries listed below
Sorting:
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 4 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 5 years ago
- PyTorch implementation of Trust Region Policy Optimization☆441Updated 6 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆430Updated last year
- Building Agents with Imagination: pytorch step-by-step implementation☆209Updated 6 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆369Updated 6 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆376Updated 2 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆570Updated 2 years ago
- Actor-critic with experience replay☆254Updated 2 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆371Updated 3 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆258Updated 9 months ago
- Structural implementation of RL key algorithms☆513Updated 2 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆310Updated 4 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆496Updated 2 years ago
- This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…☆215Updated 6 years ago
- A PyTorch implementation of Rainbow DQN agent☆168Updated 7 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- Velocity in deep-learning research☆277Updated 2 years ago
- Code for hierarchical imitation learning and reinforcement learning☆294Updated 7 years ago
- Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch☆620Updated 3 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆181Updated 6 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆238Updated 2 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆183Updated 7 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆301Updated last year
- 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
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆103Updated 4 years ago
- A PyTorch Library for Reinforcement Learning Research☆198Updated last month
- PyTorch Implementation of REINFORCE for both discrete & continuous control☆266Updated 8 years ago
- Tensorflow implementation of generative adversarial imitation learning☆199Updated 7 years ago