vikasjiitk / Deep-RL-Mountain-CarLinks
DQN based RL agent for Mountain Car
☆13Updated 9 years ago
Alternatives and similar repositories for Deep-RL-Mountain-Car
Users that are interested in Deep-RL-Mountain-Car are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of deep Q-learning for Atari games☆14Updated 6 years ago
- pytorch, noisy_distributional_double_dueling_PER_RNN_CNN...CartPole-v1 , Acrobot-v1, MountainCar-v0☆15Updated 7 years ago
- NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.☆24Updated last year
- Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.☆10Updated 7 years ago
- Reinforcement learning algorithm implementation☆10Updated 3 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- This project explores a deep reinforcement learning technique to train an agent to play atari pong game from OpenAI Gym. OpenAI Gym is a …☆10Updated 7 years ago
- PyTorch Implementation of Ape-X (Distributed prioritized experience replay) architecture with DQN learner☆27Updated 5 years ago
- Tensorflow implementation of DQN to control cart-pole from OpenAI gym environment☆14Updated 7 years ago
- TensorFlow implementation of Deep RL (Reinforcement Learning) papers based on deep Q-learning (DQN)☆10Updated 7 years ago
- Code for SPIBB-DQN and Soft-SPIBB-DQN☆11Updated 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
- PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)☆34Updated 3 years ago
- Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.☆49Updated 7 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆116Updated last year
- Code implementation of: "Graying the black box: Understanding DQNs"☆20Updated 8 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Constrained Policy Optimization☆325Updated 8 years ago
- This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.☆30Updated 7 years ago
- Deep Q Learning via Pytorch☆86Updated 7 years ago
- Adaptation of DQN, DDQN and COMA for multi-agent Gym environments☆12Updated last year
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Updated 6 years ago
- ☆12Updated 3 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆172Updated 4 years ago
- C51-DDQN in Keras☆126Updated 7 years ago
- Tensorflow DQN and DRQN agent playing doom☆35Updated 8 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- Actor-critic with experience replay☆254Updated 2 years ago
- Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras☆160Updated 5 years ago
- A DQN implementation using Keras and Tensorflow☆12Updated 6 years ago