A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
☆1,028Mar 13, 2019Updated 7 years ago
Alternatives and similar repositories for scalable_agent
Users that are interested in scalable_agent are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A PyTorch Platform for Distributed RL☆754Sep 15, 2021Updated 4 years ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆835Nov 29, 2022Updated 3 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Mar 18, 2019Updated 7 years ago
- TensorFlow Reinforcement Learning☆3,131Dec 8, 2022Updated 3 years ago
- ☆39Jan 8, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ICML 2018 Self-Imitation Learning☆277Apr 18, 2020Updated 6 years ago
- Code for the paper "Exploration by Random Network Distillation"☆930Oct 1, 2020Updated 5 years ago
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,900Mar 24, 2026Updated 5 months ago
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆406Oct 7, 2023Updated 2 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,762Aug 1, 2024Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,673Jan 13, 2022Updated 4 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,555Updated this week
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,078Jun 10, 2023Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,278Jan 4, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A customisable 3D platform for agent-based AI research☆7,373Jan 4, 2023Updated 3 years ago
- A library of reinforcement learning components and agents☆4,049Updated this week
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,482Dec 7, 2022Updated 3 years ago
- Implement IMPALA architecture from Distributed Deep-RL Paper.☆15Oct 18, 2018Updated 7 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,903May 29, 2022Updated 4 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆829Aug 12, 2021Updated 5 years ago
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆666Sep 6, 2019Updated 6 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,762Oct 22, 2022Updated 3 years ago
- RUDDER for ATARI games with delayed rewards in OpenAI Baselines package☆268Oct 24, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,672Aug 20, 2026Updated last week
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,305Jul 14, 2026Updated last month
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆661Feb 25, 2020Updated 6 years ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,712Updated this week
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆837Apr 2, 2023Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,932Jun 17, 2024Updated 2 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆4,110May 25, 2024Updated 2 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆979Jan 11, 2019Updated 7 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,437Nov 29, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research☆789Jul 14, 2026Updated last month
- NIPS 2017 Value Prediction Network☆166Jan 12, 2018Updated 8 years ago
- OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.☆5,437Updated this week
- Code for the paper "Evolved Policy Gradients"☆254Nov 22, 2018Updated 7 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆438Nov 28, 2023Updated 2 years ago
- Code for the paper "Meta-Learning Shared Hierarchies"☆620Jul 6, 2023Updated 3 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆746Jul 14, 2020Updated 6 years ago