williamFalcon / DeepRLHacksLinks
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
☆1,112Updated 7 years ago
Alternatives and similar repositories for DeepRLHacks
Users that are interested in DeepRLHacks are comparing it to the libraries listed below
Sorting:
- Efficient Batched Reinforcement Learning in TensorFlow☆967Updated 6 years ago
- Deep Reinforcement Learning with pytorch & visdom☆801Updated 5 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,443Updated 2 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,586Updated 7 years ago
- This will contain my notes for research papers that I read.☆619Updated 6 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,008Updated 6 years ago
- Assignments for CS294-112.☆1,602Updated 2 years ago
- Implementation of TRPO and related algorithms☆634Updated 7 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆714Updated 6 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆657Updated 5 years ago
- Implementations of Reinforcement Learning Models in Tensorflow☆487Updated 7 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,986Updated 2 years ago
- A list of papers and resources dedicated to deep reinforcement learning☆833Updated 9 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,593Updated 5 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆773Updated last year
- A list of recent papers regarding deep reinforcement learning☆2,196Updated 9 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆570Updated 2 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,255Updated 6 years ago
- Implementation of Meta-RL A3C algorithm☆404Updated 8 years ago
- Asynchronous Methods for Deep Reinforcement Learning☆591Updated 6 years ago
- Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog☆620Updated 2 years ago
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆663Updated 5 years ago
- Code for the paper "Meta-Learning Shared Hierarchies"☆615Updated 2 years ago
- Evolution Strategies Tool☆951Updated 2 years ago
- Code for the paper "Exploration by Random Network Distillation"☆903Updated 4 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,637Updated 3 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,748Updated 2 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,289Updated 5 months ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,282Updated 5 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆820Updated 3 years ago