brendanator / atari-rlLinks
Atari - Deep Reinforcement Learning algorithms in TensorFlow
☆138Updated last year
Alternatives and similar repositories for atari-rl
Users that are interested in atari-rl are comparing it to the libraries listed below
Sorting:
- Actor-critic with experience replay☆254Updated 2 years ago
- ICML 2018 Self-Imitation Learning☆277Updated 5 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆179Updated 7 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆182Updated 7 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 4 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- implement of prioritized experience replay☆159Updated 7 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆205Updated 4 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆209Updated 6 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- A PyTorch implementation of Rainbow DQN agent☆170Updated 7 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 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
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 7 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
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- A customizable framework to create maze and gridworld environments☆268Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- Code for the paper "Evolved Policy Gradients"☆249Updated 6 years ago
- Code for hierarchical imitation learning and reinforcement learning☆295Updated 7 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"☆71Updated 9 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆258Updated 10 months ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 5 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆311Updated 4 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- Tensorflow implementation of generative adversarial imitation learning☆199Updated 7 years ago