heronsystems / adeptRLLinks
Reinforcement learning framework to accelerate research
☆206Updated 4 years ago
Alternatives and similar repositories for adeptRL
Users that are interested in adeptRL are comparing it to the libraries listed below
Sorting:
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆401Updated last year
- Actor-critic with experience replay☆254Updated 2 years ago
- ICML 2018 Self-Imitation Learning☆276Updated 5 years ago
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆203Updated 6 years ago
- Code for the paper "Evolved Policy Gradients"☆249Updated 6 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆205Updated 4 years ago
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆306Updated 2 years ago
- A PyTorch implementation of Rainbow DQN agent☆170Updated 7 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
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…☆217Updated 6 years ago
- A reinforcement learning framework☆156Updated 6 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 11 months ago
- Publicly releasable baselines for the Retro contest☆127Updated 6 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆429Updated last year
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆207Updated 4 years ago
- Highly Modular and Scalable Reinforcement Learning☆117Updated 5 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆138Updated last year
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆372Updated 5 years ago
- Multi Agent Reinforcement Learning using MalmÖ☆261Updated 5 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆312Updated 4 years ago
- Velocity in deep-learning research☆277Updated 2 years ago
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆377Updated 2 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆172Updated 4 years ago
- ☆302Updated 2 years ago
- We release dataset collected for our research, code that implement neural network models described in the paper, and scripts to reproduce…☆161Updated 4 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Updated 7 years ago