openai / mlshLinks
Code for the paper "Meta-Learning Shared Hierarchies"
☆618Updated 2 years ago
Alternatives and similar repositories for mlsh
Users that are interested in mlsh are comparing it to the libraries listed below
Sorting:
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆827Updated 2 years ago
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆662Updated 6 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆974Updated 7 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆729Updated 7 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,018Updated 6 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆830Updated 4 years ago
- Implementation of Meta-RL A3C algorithm☆407Updated 8 years ago
- Code for the paper "Exploration by Random Network Distillation"☆930Updated 5 years ago
- Implementation of TRPO and related algorithms☆646Updated 7 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 5 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆435Updated 2 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆779Updated 2 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,470Updated 3 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆661Updated 5 years ago
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆309Updated 2 years ago
- Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"☆348Updated 7 years ago
- ☆304Updated 2 years ago
- Reinforcement learning with unsupervised auxiliary tasks☆423Updated 6 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning☆444Updated 6 years ago
- An implementation of the Augmented Random Search algorithm☆427Updated 4 years ago
- RUDDER for ATARI games with delayed rewards in OpenAI Baselines package☆267Updated 6 years ago
- Code for the paper "Evolved Policy Gradients"☆253Updated 7 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆570Updated 2 years ago
- Lua/Torch implementation of DQN (Nature, 2015)☆626Updated 8 years ago
- Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.☆562Updated 5 years ago
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆207Updated 7 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,123Updated 8 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,623Updated 6 years ago
- An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.☆328Updated 8 years ago
- Multi Agent Reinforcement Learning using MalmÖ☆265Updated 5 years ago