continuous-action-space

There are 0 repository under continuous-action-space topic.

BY571 / Upside-Down-Reinforcement-Learning
Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
cartpole-environment continuous-action-space discrete-action-space machine-learning machine-learning-algorithms python pytorch reinforcement-learning reinforcement-learning-algorithms upside-down upside-down-reinforcement-learning
Language:Jupyter Notebook 77
BY571 / Deep-Reinforcement-Learning-Algorithm-Collection
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
reinforcement-learning reinforcement-learning-algorithms soft-actor-critic ppo dqn ddpg policy-gradient actor-critic curiosity library a2c algorithms deep-reinforcement-learning sac multi-agent multi-agent-reinforcement-learning continuous-action-space machine-learning intrinsic-curiosity-module intrinsic-motivation
Language:Jupyter Notebook 75
RLOpensource / tensorflow_RL
continuous-action-space deep-learning framework gym korean reinforcement-learning robotics tensorflow
Language:Python 57
cubrink / mujoco-2.1-rl-project
Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator
a2c a2c-algorithm ant-v3 continuous-action-space ddpg deep-deterministic-policy-gradient deep-learning discrete-action-space humanoid-v3 machine-learning mujoco pendulum-v1 python python3 pytorch reinforce-algorithm reinforcement-learning sac soft-actor-critic
Language:TeX 13
KanishkNavale / DDPG-PER-PEN
The DDPG algorithm incorporates Actor-Critic Deep Learning Agent for solving continuous action reinforcement learning problems.
actor-critic continuous-action-space ddpg ddpg-agent deep-learning deep-reinforcement-learning lunarlandercontinous-v2 openai-gym parameter-noise prioritized-experience-replay python3 pytorch reinforcement-learning
Language:Python 7
koriavinash1 / Brain_Tumor_Localization_using_RL_agent
Deep Reinforcement learning based tumour localisation
continuous-action-space ddpg-agent deep-convolutional-neural-networks deep-reinforcement-learning dqn medical-imaging object-localization regression reinforcement-learning
Language:Python 6
mbar0075 / Advanced-Reinforcement-Learning
Deliverables relating to the Advanced Reinforcement Learning University Unit
continuous-action-space control-problem ddpg deep-learning deep-q-learning discrete-action-space gae lunar-lander ppo reinforcement-learning
Language:Jupyter Notebook 3
BY571 / D4PG-ray
Distributed PyTorch implementation of D4PG with ray. Using a SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.
continuous-action-space d4pg ddpg distributed-computing iqn ray reinforcement-learning reinforcement-learning-algorithms state-of-the-art
Language:Python 2
DDPG
naivoder / DDPG
Pytorch implementation of Deep Deterministic Policy Gradients (DDPG)
continuous-action-space continuous-control ddpg deep-deterministic-policy-gradient gymnasium mujoco policy-gradient pytorch reinforcement-learning rl
Language:Python 2
callmespring / DJL
Implementation of Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings (NeurIPS, 2021) in Python
change-point-detection continuous-action-space off-policy-evaluation
Language:Python 1
ken-power / DRLND_ContinuousControl
Deep Reinforcement Learning: Continuous Control. Solve the Unity ML-Agents Reacher Environment.
actor-critic-methods continuous-action-space deep-deterministic-policy-gradient deep-learning deep-q-learning deep-reinforcement-learning openai-gym pytorch reacher-environment unity
Language:Jupyter Notebook 1
A-Bergonzoli / PPO_implementation_v4.0
PPO algorithm implemetation for TF 2.8.0
continuous-action-space openai-gym ppo tensorflow2
Language:Python 0
naivoder / PPO
Pytorch implementation of Proximal Policy Optimization (PPO) for continuous action spaces
continuous-action-space continuous-control gymnasium mujoco ppo proximal-policy-optimization pytorch reinforcement-learning rl
Language:Python 0
naivoder / TD3
Pytorch implementation of twin delayed deep deterministic policy gradients (TD3)
continuous-action-space continuous-control gymnasium mujoco policy-gradient pytorch reinforcement-learning rl td3 twin-delayed-deep-deterministic-policy-gradient
Language:Python 0