keon / policy-gradient
Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
☆160Updated 5 years ago
Alternatives and similar repositories for policy-gradient:
Users that are interested in policy-gradient are comparing it to the libraries listed below
- Reinforcement Learning in Keras on VizDoom☆144Updated 7 years ago
- DQN implementation in Keras + TensorFlow + OpenAI Gym☆158Updated 7 years ago
- Collection of Deep Reinforcement Learning algorithms☆300Updated 6 years ago
- Accompanying repository for Let's make a DQN / A3C series.☆394Updated 6 years ago
- implement of prioritized experience replay☆159Updated 6 years ago
- C51-DDQN in Keras☆126Updated 7 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☆180Updated 6 years ago
- Simplest Version of playing Atari with Deep Q Learning in Tensorflow☆158Updated 7 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆274Updated 7 years ago
- Tensorflow implementation of generative adversarial imitation learning☆200Updated 7 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 4 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 3 years ago
- A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well☆92Updated 7 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.☆120Updated 8 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆183Updated 7 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- Basic DQN implementation☆225Updated 7 years ago
- RUDDER for ATARI games with delayed rewards in OpenAI Baselines package☆266Updated 5 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning☆140Updated 7 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- Noisy Networks for Exploration☆185Updated 7 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆422Updated last year
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 years ago
- "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow☆192Updated 6 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆710Updated 6 years ago