divyahansg / RecurrentDPGLinks
CS234 Reinforcement Learning: Keras implementation of Recurrent Deterministic Policy Gradient (https://arxiv.org/abs/1512.04455)
☆10Updated 8 years ago
Alternatives and similar repositories for RecurrentDPG
Users that are interested in RecurrentDPG are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 7 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 8 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆56Updated 3 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 3 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆84Updated 4 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆217Updated 2 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 7 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆41Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Soft Actor-Critic with advanced features☆51Updated last month
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 7 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated last year
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 6 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆88Updated 6 years ago
- PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)☆38Updated 4 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆38Updated 6 years ago
- Keeping track of RL experiments☆165Updated 2 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆68Updated 5 years ago