2025
Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization
NeurIPS 2025poster
Human-like agents have long been one of the goals in pursuing artificial intelligence. Although reinforcement learning (RL) has achieved superhuman performance in many domains, relatively little attention has been focused on designing human-like RL agents. As a result, many reward-driven RL agents o…