openai / evolution-strategies-starterLinks
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
☆1,603Updated 5 years ago
Alternatives and similar repositories for evolution-strategies-starter
Users that are interested in evolution-strategies-starter are comparing it to the libraries listed below
Sorting:
- Deep Neuroevolution☆1,656Updated last year
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,456Updated 2 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆969Updated 6 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,011Updated 6 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,316Updated last year
- Evolution Strategies Tool☆952Updated 2 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,012Updated 2 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,118Updated 8 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,348Updated 2 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,258Updated 6 years ago
- Implementation of TRPO and related algorithms☆637Updated 7 years ago
- A starter agent that can solve a number of universe environments.☆1,101Updated 7 years ago
- Lua/Torch implementation of DQN (Nature, 2015)☆612Updated 8 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,587Updated 7 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,745Updated 2 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆772Updated last year
- Code for the paper "Meta-Learning Shared Hierarchies"☆619Updated 2 years ago
- Simple deep Q-learning agent.☆701Updated 6 years ago
- TensorFlow Reinforcement Learning☆3,135Updated 2 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆657Updated 5 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆824Updated 2 years ago
- Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning☆2,551Updated 6 years ago
- Code for the paper "Exploration by Random Network Distillation"☆913Updated 5 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆825Updated 4 years ago
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆663Updated 6 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,650Updated 3 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆723Updated 6 years ago
- A list of recent papers regarding deep reinforcement learning☆2,200Updated 9 years ago
- ChainerRL is a deep reinforcement learning library built on top of Chainer.☆1,195Updated 4 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,526Updated last year