junhyukoh / deep-reinforcement-learning-papers
A list of recent papers regarding deep reinforcement learning
☆2,181Updated 8 years ago
Alternatives and similar repositories for deep-reinforcement-learning-papers:
Users that are interested in deep-reinforcement-learning-papers are comparing it to the libraries listed below
- A list of papers and resources dedicated to deep reinforcement learning☆835Updated 8 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,590Updated 6 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,928Updated last year
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,245Updated 5 years ago
- Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning☆2,498Updated 5 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,444Updated last year
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,105Updated 7 years ago
- Deep Reinforcement Learning for Keras.☆5,532Updated last year
- Assignments for CS294-112.☆1,577Updated last year
- For deep RL and the future of AI.☆1,437Updated 10 months ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,298Updated 5 months ago
- A Platform for Many-Agent Reinforcement Learning☆1,706Updated 2 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,057Updated 3 years ago
- Simple deep Q-learning agent.☆698Updated 5 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,238Updated 9 months ago
- Reinforcement learning resources curated☆8,913Updated last year
- An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.☆1,116Updated last year
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,333Updated 2 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,421Updated 2 years ago
- Using Keras and Deep Deterministic Policy Gradient to play TORCS☆719Updated 7 years ago
- TensorFlow Reinforcement Learning☆3,138Updated 2 years ago
- Implementations of Reinforcement Learning Models in Tensorflow☆487Updated 7 years ago
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,293Updated 4 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆966Updated 6 years ago
- A deep Q learning demonstration using Google Tensorflow☆1,171Updated 7 years ago
- Theano-based implementation of Deep Q-learning☆1,078Updated 7 years ago
- Asynchronous Methods for Deep Reinforcement Learning☆591Updated 6 years ago
- Summaries and notes on Deep Learning research papers☆4,419Updated 6 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,307Updated 7 months ago
- Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"☆1,015Updated 6 years ago