google-research / batch-ppo
Efficient Batched Reinforcement Learning in TensorFlow
☆966Updated 6 years ago
Alternatives and similar repositories for batch-ppo:
Users that are interested in batch-ppo are comparing it to the libraries listed below
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,107Updated 7 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆998Updated 5 years ago
- Code for the paper "Meta-Learning Shared Hierarchies"☆612Updated last year
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,424Updated 2 years ago
- Asynchronous Methods for Deep Reinforcement Learning☆590Updated 6 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,588Updated 6 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆659Updated 5 years ago
- Implementation of TRPO and related algorithms☆626Updated 6 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆702Updated 6 years ago
- An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.☆326Updated 7 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,715Updated 2 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,941Updated last year
- Simple deep Q-learning agent.☆697Updated 5 years ago
- A starter agent that can solve a number of universe environments.☆1,097Updated 6 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,582Updated 5 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,341Updated 2 years ago
- Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"☆1,012Updated 6 years ago
- Code for the paper "Exploration by Random Network Distillation"☆892Updated 4 years ago
- A list of papers and resources dedicated to deep reinforcement learning☆836Updated 8 years ago
- Implementations of Reinforcement Learning Models in Tensorflow☆484Updated 7 years ago
- Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)☆403Updated 8 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆809Updated last year
- TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper☆553Updated 6 years ago
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆658Updated 5 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆810Updated 3 years ago
- TensorFlow Reinforcement Learning☆3,137Updated 2 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,254Updated 6 years ago
- Implementation of Meta-RL A3C algorithm☆402Updated 8 years ago
- Accompanying repository for Let's make a DQN / A3C series.☆394Updated 6 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆767Updated last year