awjuliani / DeepRL-AgentsLinks
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
☆2,250Updated 6 years ago
Alternatives and similar repositories for DeepRL-Agents
Users that are interested in DeepRL-Agents are comparing it to the libraries listed below
Sorting:
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,586Updated 6 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,312Updated 10 months ago
- Deep Reinforcement Learning for Keras.☆5,553Updated last year
- Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning☆2,534Updated 6 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,967Updated last year
- A list of recent papers regarding deep reinforcement learning☆2,194Updated 8 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,533Updated 2 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,109Updated 7 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,436Updated 2 years ago
- TensorFlow Reinforcement Learning☆3,137Updated 2 years ago
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,305Updated 4 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,734Updated 2 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
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆657Updated 5 years ago
- A starter agent that can solve a number of universe environments.☆1,099Updated 7 years ago
- Simple deep Q-learning agent.☆700Updated 6 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆968Updated 6 years ago
- Assignments for CS294-112.☆1,597Updated 2 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,589Updated 5 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,309Updated last year
- Implementation of TRPO and related algorithms☆631Updated 7 years ago
- Using Keras and Deep Deterministic Policy Gradient to play TORCS☆723Updated 7 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,101Updated 3 years ago
- Implementations of Reinforcement Learning Models in Tensorflow☆487Updated 7 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,627Updated 3 years ago
- A list of papers and resources dedicated to deep reinforcement learning☆834Updated 8 years ago
- Theano-based implementation of Deep Q-learning☆1,090Updated 8 years ago
- Accompanying repository for Let's make a DQN / A3C series.☆395Updated 6 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,274Updated 5 years ago
- Asynchronous Methods for Deep Reinforcement Learning☆590Updated 6 years ago