bhctsntrk / OpenAIPong-DQNLinks
Solving Atari Pong Game w/ Duel Double DQN in Pytorch
☆32Updated 5 years ago
Alternatives and similar repositories for OpenAIPong-DQN
Users that are interested in OpenAIPong-DQN are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Soft Actor-Critic (SAC)☆562Updated 3 years ago
 - An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆32Updated 2 years ago
 - Deep Q-Learning (DQN) implementation for Atari pong.☆85Updated 2 years ago
 - Baseline implementation of recurrent PPO using truncated BPTT☆155Updated last year
 - DQN to play Atari Pong☆114Updated 6 years ago
 - PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆138Updated last year
 - Clean baseline implementation of PPO using an episodic TransformerXL memory☆193Updated last year
 - PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆327Updated 3 years ago
 - Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆363Updated 2 years ago
 - A plotter for reinforcement learning (RL)☆234Updated 3 years ago
 - Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆78Updated 2 years ago
 - A clean and robust Pytorch implementation of PPO on Discrete action space☆69Updated last year
 - SARSA, Q-Learning, Expected SARSA, SARSA(λ) and Double Q-learning Implementation and Analysis☆29Updated 6 years ago
 - Datasets with baselines for Offline MARL.☆182Updated last week
 - Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
 - PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆291Updated 4 years ago
 - Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆54Updated 8 months ago
 - Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
 - DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
 - Minimal implementation of multi-agent reinforcement learning algorithms☆59Updated 4 years ago
 - Prioritized Experience Replay implementation with proportional prioritization☆84Updated 2 years ago
 - Random network distillation on Montezuma's Revenge and Super Mario Bros.☆53Updated 5 months ago
 - Deep recurrent Q learning on CartPole-v1 environment☆94Updated last year
 - A simple implementation of Generative Adversarial Imitation Learning with PyTorch☆169Updated 3 years ago
 - A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆116Updated last year
 - A collection of pre-trained RL agents using Stable Baselines3☆139Updated 11 months ago
 - Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆72Updated last year
 - PyTorch implementation of GAIL and PPO reinforcement learning algorithms☆25Updated 4 years ago
 - PPO, DDPG, SAC implementation on mujoco environment☆119Updated 3 years ago
 - Train a DQN Agent to play CarRacing 2d using TensorFlow and Keras.☆95Updated 5 years ago