google-deepmind / trfl
TensorFlow Reinforcement Learning
☆3,139Updated 2 years ago
Alternatives and similar repositories for trfl:
Users that are interested in trfl are comparing it to the libraries listed below
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,587Updated last month
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,299Updated 6 months ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,337Updated 2 years ago
- Deep Reinforcement Learning for Keras.☆5,539Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,936Updated last year
- Reinforcement Learning in PyTorch☆2,239Updated 4 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,518Updated 10 months ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,581Updated 5 years ago
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,644Updated 3 months ago
- Efficient Batched Reinforcement Learning in TensorFlow☆965Updated 6 years ago
- Learning Latent Dynamics for Planning from Pixels☆1,185Updated last year
- Deep Neuroevolution☆1,639Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,069Updated 3 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆995Updated 5 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,315Updated 8 months ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,588Updated 6 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,105Updated 7 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,711Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,259Updated 10 months ago
- Fast and flexible AutoML with learning guarantees.☆3,465Updated last year
- Minimal and Clean Reinforcement Learning Examples☆3,455Updated last year
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,252Updated 6 years ago
- A list of recent papers regarding deep reinforcement learning☆2,183Updated 8 years ago
- A TensorFlow implementation of the Differentiable Neural Computer.☆2,505Updated 3 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,217Updated 2 years ago
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.☆2,858Updated last week
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,423Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆1,919Updated last year
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆2,229Updated this week
- Repo for the Deep Reinforcement Learning Nanodegree program☆4,986Updated last year