Guillaume-Cr / lunar_lander_per
☆17Updated 4 years ago
Alternatives and similar repositories for lunar_lander_per:
Users that are interested in lunar_lander_per are comparing it to the libraries listed below
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Collection of OpenAI parametrized action-space environments.☆62Updated 2 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆68Updated 7 months ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆77Updated 4 years ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆92Updated last year
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆141Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆286Updated 4 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆45Updated 2 years ago
- OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.☆47Updated 2 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆20Updated 3 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆135Updated 10 months ago
- Experiments with reinforcement learning and recurrent neural networks☆113Updated last year
- A Reinforcement Learning Project using PPO + LSTM☆60Updated last year
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 4 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆173Updated 5 months ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆99Updated 2 years ago
- PyTorch implementation of DDPG for continuous control tasks.☆46Updated 5 years ago
- Emergence of complex strategies through multiagent competition☆42Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆136Updated 6 years ago
- ☆183Updated 3 years ago
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆27Updated 3 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆41Updated 7 months ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆64Updated 5 months ago
- Prioritized Experience Replay implementation with proportional prioritization☆76Updated last year
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆117Updated 4 months ago
- The Starcraft Multi-Agent challenge lite☆41Updated 5 months ago
- The implementation of LSTM-TD3.☆74Updated 2 years ago
- ☆41Updated 5 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago