liampetti / DDPG
Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function, reward discounting, works on discrete & continuous action spaces
☆65Updated 7 years ago
Related projects: ⓘ
- implement of prioritized experience replay☆156Updated 6 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆150Updated last year
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 5 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆128Updated 6 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆86Updated 6 years ago
- Yet another prioritized experience replay buffer implementation.☆47Updated last year
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 6 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆179Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆129Updated last year
- Implementation of Multi-Agent Deep Deterministic Policy Gradients☆35Updated 6 years ago
- TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)☆209Updated 6 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆111Updated 5 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 4 years ago
- Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.☆121Updated 7 years ago
- Hybrid Reward Architecture☆78Updated 6 years ago
- ☆76Updated 6 years ago
- Simple grid-world environment compatible with OpenAI-gym☆49Updated 4 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆180Updated 6 years ago
- Constrained Policy Optimization☆305Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆130Updated 5 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆272Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆92Updated 2 years ago
- Actor-critic with experience replay☆251Updated last year
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆101Updated 4 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆57Updated 5 years ago
- ☆78Updated 6 years ago
- Hierarchical Deep RL Network☆29Updated 7 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆167Updated 6 years ago
- Code for hierarchical imitation learning and reinforcement learning☆282Updated 6 years ago