google-deepmind / scalable_agent
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
☆995Updated 5 years ago
Alternatives and similar repositories for scalable_agent:
Users that are interested in scalable_agent are comparing it to the libraries listed below
- Code for the paper "Exploration by Random Network Distillation"☆888Updated 4 years ago
- A PyTorch Platform for Distributed RL☆747Updated 3 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,423Updated 2 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆965Updated 6 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,105Updated 7 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,602Updated 3 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆807Updated 3 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,711Updated 2 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆700Updated 6 years ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆800Updated 2 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆768Updated last year
- Code for the paper "Meta-Learning Shared Hierarchies"☆611Updated last year
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆658Updated 4 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,242Updated 5 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆564Updated last year
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆561Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,239Updated 4 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,153Updated 2 years ago
- Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.☆556Updated 4 years ago
- Implementation of TRPO and related algorithms☆625Updated 6 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆417Updated last year
- RLgraph: Modular computation graphs for deep reinforcement learning☆318Updated 5 years ago
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆657Updated 5 years ago
- Lua/Torch implementation of DQN (Nature, 2015)☆593Updated 7 years ago
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆397Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,267Updated last year
- Learning Latent Dynamics for Planning from Pixels☆1,185Updated last year
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 4 years ago
- World Models Experiments☆634Updated 2 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,337Updated 2 years ago