tensorflow implementation of reinforcement learning methods
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Updated
Dec 26, 2016 - Python
tensorflow implementation of reinforcement learning methods
A Tensorflow implementation of a Actor Mimic RL agent to balance a Cartpole from OpenAI Gym
Implementing the Actor Critic algorithm using tensorflow.
teaching neural net to play poker using actor / critic strategy, implemented in julia
Autonomous Navigation using Deep Reinforcement Learning
This repository explains the importance of incorporating entropy in policy gradient algorithms.
pyTorch Implementation of Deep Deterministic Policy Gradient with Auxiliary Rewards
A repository with my BS MIPT Diploma
A3C Algorithm for classic Atari games
Hexapod Robot using RL to walk
High-performance implementations of several reinforcement learning algorithms and some commonly used benchmark problems (Matlab & C++)
Implementations of Reinforcement Learning Models in Tensorflow
Implement A3C for Mujoco gym envs
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Distributed RL implementations
Minimal implementations of reinforcement learning algorithms by Tensorflow
Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex
Demo of java-reinforcement-learning library using flappy bird
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